diff --git "a/annotate_paddy.jsonl" "b/annotate_paddy.jsonl"
--- "a/annotate_paddy.jsonl"
+++ "b/annotate_paddy.jsonl"
@@ -4,7 +4,7 @@
{"text": " from one stage to another. It is also driven in part by the curriculum which is geared to\npreparing students for the French baccalaureate examnination and may be contextually difficult for\nDjiboutians from less educated families.\n\n\n**3. Income and Gender Gaps in Enrollment Rates**\n\nEven though the main constraint at present appears to be school places, there is already evidence of\ngender and income gaps which cannot be explained by lack of school places alone. These are\nexpected to become more prominent over time as enrollment rates rise.\n\n\nAccording to the household expenditure survey data, in urban areas, the Net Enrollment Rate in\nPrimary Enrollment is 50% higher for the highest expenditure quintile compared to the lowest\nexpenditure quintile. The inequity is even worse in secondary education (lower secondary education\nis part of basic education but the survey data did not separate the two), where the NER of the highest\nquintile is 420% higher than the NER of the lowest quintile. The problem in urban areas is access demand exists among all groups but the rationing of sets ends up benefiting the better off who live in\nareas where schools have historically been located. Any further expansion of places will help the\npoorer segments of the population more particularly if care is taken to site the schools in areas where\nthe poor live.\n\n\nThere are also significant gender gaps and research indicates that educated mothers play a key role in\nthe country's overall development. There is a shortage of school places and any rationing works to\nthe detriment of girls enrollment. Parents are less willing for their girls to attend school because in\npar., they may view the curriculum as foreign. In addition, despite the fact the education is officially\nfree, poor families still have difficulty paying the cost of books and materials. They prefer to use\ntheir constrained resources for their boys who they feel have a better labor market potential. Finally,\nthe data from the Household Survey, showed that even if girls go to school, their parents pull them\nout at an", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:010150", "page": 38, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "survey data", "probe_tag": "keep", "probe_score": 0.9347544312477112, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 870, "end": 881, "key": "fcv_pads_east_africa:010150:38:1:1", "source": "camp2", "luna_reason": "Survey data supports reported enrollment-rate differences across expenditure quintiles.", "usage_type": "evidential", "specificity": "vague"}, {"text": "data from the Household Survey", "probe_tag": "keep", "probe_score": 0.9652993679046631, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1978, "end": 2008, "key": "fcv_pads_east_africa:010150:38:1:2", "source": "camp2", "luna_reason": "Household Survey data supports the finding that parents withdraw girls from school.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": " from one stage to another. It is also driven in part by the curriculum which is geared to\npreparing students for the French baccalaureate examnination and may be contextually difficult for\nDjiboutians from less educated families.\n\n\n**3. Income and Gender Gaps in Enrollment Rates**\n\nEven though the main constraint at present appears to be school places, there is already evidence of\ngender and income gaps which cannot be explained by lack of school places alone. These are\nexpected to become more prominent over time as enrollment rates rise.\n\n\nAccording to the household expenditure survey data, in urban areas, the Net Enrollment Rate in\nPrimary Enrollment is 50% higher for the highest expenditure quintile compared to the lowest\nexpenditure quintile. The inequity is even worse in secondary education (lower secondary education\nis part of basic education but the survey data did not separate the two), where the NER of the highest\nquintile is 420% higher than the NER of the lowest quintile. The problem in urban areas is access demand exists among all groups but the rationing of sets ends up benefiting the better off who live in\nareas where schools have historically been located. Any further expansion of places will help the\npoorer segments of the population more particularly if care is taken to site the schools in areas where\nthe poor live.\n\n\nThere are also significant gender gaps and research indicates that educated mothers play a key role in\nthe country's overall development. There is a shortage of school places and any rationing works to\nthe detriment of girls enrollment. Parents are less willing for their girls to attend school because in\npar., they may view the curriculum as foreign. In addition, despite the fact the education is officially\nfree, poor families still have difficulty paying the cost of books and materials. They prefer to use\ntheir constrained resources for their boys who they feel have a better labor market potential. Finally,\nthe data from the Household Survey, showed that even if girls go to school, their parents pull them\nout at an", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:018972", "page": 38, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "household expenditure survey data", "probe_tag": "keep", "probe_score": 0.9571933746337891, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 565, "end": 598, "key": "fcv_pads_east_africa:018972:38:1:0", "source": "camp2", "luna_reason": "Survey data supports reported enrollment-rate disparities across expenditure quintiles.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "16\n\n\naddressed the Donors Roundtable and committed to increase Government resources to education to\nover 25% of the budget and noted that the government viewed education as the main source of future\ngrowth in Djibouti.\n\n\n**5. Value added of Bank support in this project**\n\nIDA has been supporting the national consensus building process through the National Education\nForum. The proposed project will help demonstrate that a consensus building approach that involves\n\nall elements of civil society is effective and produces results. In addition the use of an APL\ndemonstrates the long-term commitment by IDA to assist the Government in its strategic goal of\nreaching full enrollment in basic education. It is also hoped that the use of the IDA credit will further\ndecrease the construction unit cost (as IDA is supporting the use of local construction materials which\nshould be cheaper), help develop more cost-effective classroom designs, and provide the environment\nwith a more efficient procurement process.\n\n\n**E. SUMMARY PROJECT ANALYSIS** (Detailed assessments are in the project file, see Annex 8)\n\n\n**1. Economic (see Annex 4)**\n\n\nOther (specify) NPV=US$ million; ERR = ** % (see Annex 4)\n\n\n_** ERR = Over 11% based on system efficiency gains alone without allowing for development_\n_benefits, public goods nature of education and poverty reduction benefits._\n\n\nDjibouti's main resource base is its population and in order to achieve sustained development, the\ncountry needs to improve the quality of its human resource base. Quality starts with improved basic\neducation and school enrollments. In addition, the issue of equity arises. According to the household\nexpenditure survey data, in urban areas, the net enrollment rate (NER) at the primary level in the\nsurvey year (1996) was 50% greater for the highest expenditure quintile compared to the lowest\nexpenditure quintile. The inequity is even more pronounced in secondary education (lower secondary\neducation is part of basic education but the survey", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:013805", "page": 19, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "household\nexpenditure survey data", "probe_tag": "keep", "probe_score": 0.9439554214477539, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1661, "end": 1694, "key": "fcv_pads_east_africa:013805:19:0:0", "source": "camp2", "luna_reason": "Survey data supports a concrete enrollment-rate comparison from 1996.", "usage_type": "evidential", "specificity": "descriptive"}]}
-{"text": " from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|\n||16,000.00|Sep/2017|26,285|31-Jan-2025|26,285|15-May-2025|21,400.00|Jun/2025|\n\n\nJun 30, 2025", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:003401", "page": 2, "chunk": 5, "split": "holdout_annotate", "spans": [{"text": "data from
2017", "probe_tag": "confusion", "probe_score": 0.1813177615404129, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 404, "end": 421, "key": "fcv_pads_east_africa:003401:2:5:1", "source": "camp2", "luna_reason": "2017 data underpin the Results Framework and explain values exceeding targets.", "usage_type": "evidential", "specificity": "descriptive"}, {"text": "data from
2017", "probe_tag": "confusion", "probe_score": 0.1861553192138672, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 404, "end": 421, "key": "fcv_pads_east_africa:003401:2:5:2", "source": "camp2", "luna_reason": "Bare date-only data qualifier lacks producer, method, or geographic source detail.", "drop_reason": "ref_list", "specificity": "vague"}]}
+{"text": " from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|Total enrolment is drawn from 1,416 government schools (S1-S4) as of September 2024.
Values exceed the end targets because the Results Framework (RF) is based on data from
2017, since which time the MoES has been updating the comprehensive Education
Management Information System (EMIS). Enrollments in target areas have increased in the
interim for reasons outside the influence of the project.|\n||16,000.00|Sep/2017|26,285|31-Jan-2025|26,285|15-May-2025|21,400.00|Jun/2025|\n\n\nJun 30, 2025", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:003401", "page": 2, "chunk": 5, "split": "holdout_annotate", "spans": [{"text": "data from
2017", "probe_tag": "confusion", "probe_score": 0.1813177615404129, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 404, "end": 421, "key": "fcv_pads_east_africa:003401:2:5:1", "source": "camp2", "luna_reason": "2017 data underpin the Results Framework and explain values exceeding targets.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "_the Bank’s Anti-Corruption Guidelines, including without limitation_\n_the Bank’s right to sanction and the Bank’s inspection and audit_\n_rights;_\n\n\n - _The rights for the Bank to review procurement documentation and_\n_activities;_\n\n\nWhen other national procurement arrangements other than national open\ncompetitive procurement arrangements are applied by the Borrower,\nsuch arrangements shall be subject to paragraph 5.5 of the Procurement\nRegulations.\n\n\n**_Leased Assets_** _as specified under paragraph 5.10_ of the Procurement\nRegulations: Leasing may be used for those contracts identified in the\nProcurement Plan tables. _“Not Applicable”_\n\n\n**_Procurement of Second Hand Goods_** _as specified under paragraph 5.11_ of\nthe Procurement Regulations – is allowed for those contracts identified in the\nProcurement Plan tables _“Not Applicable”_\n\n\n**_Domestic preference_** _as specified under paragraph 5.51_ of the Procurement\nRegulations **_(Goods and Works)_** . _Not Applicable_\n\n\nGoods: [is not applicable/is applicable for those contracts identified in the\nProcurement Plan tables];\n\n\nWorks: [is not applicable/is applicable for those contracts identified in the\nProcurement Plan tables]\n\n\n**Proposed Procedures for CDD Components** (as per paragraph. 6.52 and\nAnnex III, paragraphs 6.9 and 6.10 of the World Bank Procurement\nRegulations for IPF Borrowers, dated July 2016)\n\n\n**Other Relevant Procurement Information** _. None_", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:000316", "page": 1, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Procurement Plan tables", "probe_tag": "confusion", "probe_score": 0.226983904838562, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 604, "end": 627, "key": "fcv_pads_east_africa:000316:1:0:0", "source": "camp2", "luna_reason": "Routine procurement planning tables identify contracts, not substantive data evidence.", "drop_reason": "bookkeeping", "specificity": "descriptive"}]}
{"text": "sup>recently come under Government control.\n\n\n\n**2.** **Main sector** issues **and** **Government strategy:**\n\n\n\n_Sector Issues._\n_Poverty in Sierra Leone._ Sierra Leone has the lowest Human Development Index **in** the world\n\n\n\nand has a GNP per capita of only US$130 compared to the average for Sub-Saharan Africa of $470.\n\n\n\nOver 82% of the population currently lives below the poverty line and life expectancy is only 38 years.\n\n\n\nFertility, infant and child mortality are high and over a third of children and a fourth of adults are\n\n\n\nmalnourished. The pnmary school enrollmentpackage of nutrition services (CBN), % female|Col2|Number|Value|0.00|55800000.00|44125000.00|\n|---|---|---|---|---|---|---|\n|Number of people with access to a basic
package of nutrition services (CBN), % female||Number|Date|29-Apr-2008|30-Apr-2014|31-May-2014|\n|Number of people with access to a basic
package of nutrition services (CBN), % female||Number|Comments|Source: Routine CBN data,
FMOH
(revised indicator definition,
baseline value and data
source)|Source: Routine CBN data,
FMOH|Routine CBN data, FMOH|\n|Number and percentage of children 6-59
months receiving a dose of Vitamin A every 6
months||Number
Sub Type
Breakdown|Value|10200000.00|12159933.00|11300000.00|\n|Number and percentage of children 6-59
months receiving a dose of Vitamin A every 6
months||Number
Sub Type
Breakdown|Date|29-Apr-2008|30-Apr-2014|31-May-2014|\n|Number and percentage of children 6-59
months receiving a dose of Vitamin A every 6
months||Number
Sub Type
Breakdown|Comments|UNICEF EOS 2008 data
(revised indicator definition
and baseline value)|Source: FMOH 2010-", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:018912", "page": 2, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Routine CBN data", "probe_tag": "confusion", "probe_score": 0.5665374398231506, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 439, "end": 455, "key": "fcv_pads_east_africa:018912:2:0:0", "source": "camp2", "luna_reason": "Source data cited for reported nutrition-service indicator values.", "usage_type": "evidential", "specificity": "descriptive"}, {"text": "UNICEF EOS 2008 data", "probe_tag": "confusion", "probe_score": 0.6705687642097473, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1085, "end": 1105, "key": "fcv_pads_east_africa:018912:2:0:1", "source": "camp2", "luna_reason": "Named UNICEF 2008 data source cited for the indicator baseline and values.", "usage_type": "declaration", "specificity": "named"}]}
@@ -16,7 +16,7 @@
{"text": "**Independent Evaluation Group (IEG)** Implementation Completion Report (ICR) Review\nEthiopia UIIDP (P163452)\n\n\nThis indicator was monitorable and related to the revenue mobilization (through own-source revenue) efforts\nof the eligible ULGs. This indicator is directly related to the sustainability of the urban infrastructure and is\nrated as substantial.\n\n\n**Rating**\nSubstantial\n\n# **DLI 9**\n\n**DLI**\nDLI # 9. Regional Public Procurement and Property Administration Agencies (RPPAA) had conducted timely\nand quality procurement audit of eligible ULG's accounts and performance.\n\n\n**Rationale**\nThis indicator was intended to ensure that the regional public procurement agencies conduct timely and\nquality procurement audits of eligible ULGs accounts. The indicator was monitorable. The indicator is rated as\nsubstantial.\n\n\n**Rating**\nSubstantial\n\n# **DLI 10**\n\n**DLI**\nDLI# 10. Strengthening institutional performance, infrastructure and service delivery, maintenance and job\ncreation for 44 ULGs.\n\n\n**Rationale**\nThe team clarified that DLI was a legacy DLI, grounded in historical performance data from the 2017/18\nAnnual Performance Assessment (APA). This DLI guaranteed the sustainability of previously attained results,\nThe legacy DLI was vital for the 44 ULGs to ensure performance consistency, while new ULGs, due to their\nearly-stage capacity, were not considered under this DLI. This DLI was monitorable. Since this DLI would\nhelp the 44ULGs to show sustained improvements in urban governance and infrastructure development\nachieved over time, this DLI is rated as substantial.\n\n\n**Rating**\nSubstantial\n\n\nOVERALL RELEVANCE DLI TBL\n\n# **OVERALL RELEVANCE RATING**\n\n**Rationale**\n\n\nPage 8 of 16", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:003596", "page": 7, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "historical performance data", "probe_tag": "confusion", "probe_score": 0.651159405708313, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1074, "end": 1101, "key": "fcv_pads_east_africa:003596:7:0:0", "source": "camp2", "luna_reason": "Existing performance data from the 2017/18 assessment grounded the DLI.", "usage_type": "declaration", "specificity": "descriptive"}, {"text": "2017/18\nAnnual Performance Assessment", "probe_tag": "keep", "probe_score": 0.9181606769561768, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1111, "end": 1148, "key": "fcv_pads_east_africa:003596:7:0:1", "source": "camp2", "luna_reason": "Historical assessment data grounded the DLI indicator.", "usage_type": "evidential", "specificity": "named"}]}
{"text": "**Independent Evaluation Group (IEG)** Implementation Completion Report (ICR) Review\nRural Productive Safety Net Project (P163438)\n\n\n - 2,770,188 PSNP core beneficiaries received their cash payments through e-payments, against a\n\nbaseline of 420,000, **considerably surpassing the PDI target** of 2,000,000.\n\n\nPublic works sub-projects support the creation of sustainable community assets and an improved enabling\nenvironment for livelihoods.\n\n\n - 85 percent of rural safety net public works sub-projects met a common standard, **substantially**\n\n**achieving** the PDI target of 90 percent (this PDI is associated with Objective 2 in the results\nframework but is nonetheless relevant also for Objective 1).\n\n - 84.5 percent of public works subprojects were selected and implemented according to the\n\ngovernment’s management guidelines, against a baseline of 75 percent, **substantially achieving** the\n85 percent target. The ICRR notes that the same indicator appeared in the PSNP results framework,\nbut with a higher target of 90%, so that the target was effectively, if not formally, downwardly revised.\n(This IRI is associated in the results framework with Objective 2, and thus also reported below.).\n\n - The 2019 PWIA found that across ten watersheds and rangeland areas sampled, 183,000 tons\n\nCO2/Anum were sequestered, as well as substantial improvements in watershed resource\nmanagement. Across 8 sampled watersheds, soil erosion was reduced by 36 percent, woody biomass\nin non-pastoral watersheds increased by 169 percent, and carbon sequestration resulting from\nincreased vegetation cover increased from 3.25 to 4 MT Co2 per hectare between 2015 and 2019.\nThis translated into livelihoods and health benefits for agricultural households: crop yields in sample\nwatersheds grew by 24 percent, irrigated crop production rose from 12", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:004012", "page": 7, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "2019 PWIA", "probe_tag": "confusion", "probe_score": 0.6933716535568237, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1235, "end": 1244, "key": "fcv_pads_east_africa:004012:7:0:0", "source": "camp2", "luna_reason": "PWIA findings provide measured watershed, sequestration, and livelihood results.", "usage_type": "evidential", "specificity": "named"}]}
{"text": "_Kenya_ _Off-Grid_ _Solar Access Project (KOSAP)_\n_Project Information_ _and Overall Performance_\n_For the financial year ended June_ **_30,_** _2021_\n\n\n\nNim ____ Position **title** **Contact** **information** **Responsibilities**\n\n\n\nensuring KFM implemeton as\nper KOSAP safeguards\nframework documents\nHenry Karanja Environmental Mobile: +254 **723** 416820 - Mainstream environmental\nSafeguard Email: hkaranja@snv.org safeguards in the implementation\nSpecialist arrangements of the RBF **&** Debt\nFacilities\n\n - Monitor and report on\nenvironmental safeguards\npolicies and actions **by** the\nrecipients of RBF and Debt\nFacilities\nDevelop and implement a\ncomprehensive Environmental\nand Social Management Plan for\nRBF **&** Debt Facilities\nDennis Kibira Data Analyst **SSP** Mobile: +254 **712** 274466 - Evaluation of proposals and\nRBF Email: dkibira@snv.org recommend awardees\n\n - Prepare **SSP** RBF agreements\nfor signing between MoE and\n\n\n\nawardees\n\n- Processing payment requests\n(including preparation of\nverification packages for IVA)\n\n- Maintain **SSP** RBF facility CRM\ndatabase\n\n\n\n\n- Support bidding process\n\nMaintain RBF facility CRM\ndatabase\n\n- General implementation support\n\n\n\nBaraka Megiroo Senior Investment Mobile: **+255 767** 450433 - Preparation of the Debt Facility\nOfficer Email: baraka@sunfunder.com Implementation Manual and\nupdating when required.\nResponsible for managing the\nDebt Facility and achieving the\nfacilities objectives.\n\nFacility promotion and proposal\nsolicitation with solar company\nborrowers in emerging markets,\nincluding origination, project and\ncompany due diligence, loan\nstructuring, negotiation,\nexecution.\n\n - Preparation of Requests for\nProposals, Evaluation of\nproposals and", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:002172", "page": 9, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "RBF facility CRM\ndatabase", "probe_tag": "confusion", "probe_score": 0.42743954062461853, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1178, "end": 1203, "key": "fcv_pads_east_africa:002172:9:0:1", "source": "camp2", "luna_reason": "CRM database is merely maintained; no substantive use of its data is shown.", "drop_reason": "system_registry", "specificity": "descriptive"}]}
-{"text": "**Jinja Municipal Council**\n\n\nFig 1: Jinja Refuse Dump Sketch Map showing points of geophysical\n\nmeasurement and lithology\n\n\n**Work done and Analysis of Measurements**\nFour points in a straight line through the middle of the proposed dump were\nsounded and can provide an overall picture of the underneath of the refuse pit.\n\n**_VES 101_**\nThe original field data showed a slow and gradual decrease in the apparent\nResistivities of the soil layers with depth. The computer modelling of the field data\nusing the computer programs gives a 3-layered model. This progressive decrease\nin resistivities with depth is a sign that compaction levels were decreasing\ndownward and therefore the soil layers were becoming increasingly pervious with\ndepth. This point marks the start of the transition to the soils found in valley\nsettings. The generated stratigraphy at that point is; Topsoils to 2m deep, Laterite\n(Murram) from 3m-10m weathered rocks from 10 to 30m and a fresh granite to a\ndepth beyond 50m.\n\n\n57", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:015894", "page": 69, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "field data", "probe_tag": "confusion", "probe_score": 0.2957984507083893, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 352, "end": 362, "key": "fcv_pads_east_africa:015894:69:0:0", "source": "camp2", "luna_reason": "Existing field data supports resistivity analysis and soil-layer findings.", "usage_type": "evidential", "specificity": "descriptive"}, {"text": "field data", "probe_tag": "confusion", "probe_score": 0.6403694748878479, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 352, "end": 362, "key": "fcv_pads_east_africa:015894:69:0:1", "source": "camp2", "luna_reason": "Field measurements are analyzed to infer soil resistivity and compaction changes.", "usage_type": "evidential", "specificity": "vague"}]}
+{"text": "**Jinja Municipal Council**\n\n\nFig 1: Jinja Refuse Dump Sketch Map showing points of geophysical\n\nmeasurement and lithology\n\n\n**Work done and Analysis of Measurements**\nFour points in a straight line through the middle of the proposed dump were\nsounded and can provide an overall picture of the underneath of the refuse pit.\n\n**_VES 101_**\nThe original field data showed a slow and gradual decrease in the apparent\nResistivities of the soil layers with depth. The computer modelling of the field data\nusing the computer programs gives a 3-layered model. This progressive decrease\nin resistivities with depth is a sign that compaction levels were decreasing\ndownward and therefore the soil layers were becoming increasingly pervious with\ndepth. This point marks the start of the transition to the soils found in valley\nsettings. The generated stratigraphy at that point is; Topsoils to 2m deep, Laterite\n(Murram) from 3m-10m weathered rocks from 10 to 30m and a fresh granite to a\ndepth beyond 50m.\n\n\n57", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:015894", "page": 69, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "field data", "probe_tag": "confusion", "probe_score": 0.2957984507083893, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 352, "end": 362, "key": "fcv_pads_east_africa:015894:69:0:0", "source": "camp2", "luna_reason": "Existing field data supports resistivity analysis and soil-layer findings.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "**Annex 1:** **Project** **Design** **Summary**\n\n**SIERRA LEONE:** **NATIONAL** **SOCIAL ACTION** **PROJECT**\n\n\n. **Hierarchy o.Qbijctives -'** - . **diator** **r**, t **,P** **jCitidaI** **r!** **As's-umptIons,Y-**\n**Sector-related** **CAS** **Goal:** **Sector** **Indicators:** **Sector/ country reports:** **(from** **Goal** **to Bank** **Mission)**\nMitigate the risk of renewed 1. National conflict/security- - UNHCR/OCHA reports - Continued peace and\n**conflict** **and lay foundation** related indicators - Household Income and regional security\n**for** **poverty reduction and** 2. Inter-regional disparities in Expenditure Surveys - Economic and political\n**improvements** **in nutrition,** I-PRSP & PRSP core - PETS surveys stability\n**health, education** **and** indicators - Strategic Planning and\n**targeting** **the rural** 3. Inter-regional disparities in Action Process (SPP) reports\n**population,** women **and** Popular Benchmarks\n**children.**\n\n\n**Project** **Development** **Outcome** **/** **Impact** **Project reports:** **(from** *", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:014575", "page": 29, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "PETS surveys", "probe_tag": "confusion", "probe_score": 0.8346704244613647, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 721, "end": 733, "key": "fcv_pads_east_africa:014575:29:0:1", "source": "camp2", "luna_reason": "Named survey source listed for sector indicators and country reporting.", "usage_type": "declaration", "specificity": "named"}]}
{"text": "completed sub-projects local authorities provide\nconform to ministry standards, resources and staff to operate\ndesigns and norms. and maintain facilities (e.g.\nprovision of teachers and\n\ntextbooks in the case of\nprimary schools);\n\n\nl(b) Targeted communities are lb. 1 At least 90% of - Beneficiary/ impact - Sub-projects reflect\nempowered to carry out projects are assessed as assessments and other beneficiary needs and\npriority investments. successful by communities evaluation reports improved access to social and\n(achieve rmnimum expected economic services;\noutputs and\noutcomes/imnpacts).\n\n - Supervision missions - PPA methodology is\nlb.2 All supported - Beneficiary Assessments internalized by NaCSA and\ncommunities have conducted - NSAP quarterly progress partners;\nparticipatory needs reports\nassessments and project - Participatory M&E results\nidentification using PPA\napproach. - Continuous social - Capacity building efforts\nI assessment process provided and/or coordinated\nlb.3 100% of communities - Participatory M&E results by NaCSA are appropriate and\nhave project management effective;\nstructures in place and trained\ncommunity members.\n\n**2.** Pilot and Special 2a.1 100 km. of feeder roads - Supervision missions; - NaCSA's commitment to\n\n**Programs in** Newly rehabilitated. - NSAP quarterly reports; pilot both programs remains\n**Accessible** **Areas** - Annual technical audits; strong\n2a.2 800,000 person days of - NaCSA M&E data\n**2(a)** **Rural Public Works** temporary employment\n**Program:** created.\n\nInfrastructure constructed 2a.3 250,000 \"woman days\" of\nand/or upgraded using labor temporary employment\nintensive techniques. created.\n\n\n2a.4 At mid-term review the\ncost per day", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:019805", "page": 30, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "NaCSA M&E data", "probe_tag": "confusion", "probe_score": 0.42743954062461853, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1658, "end": 1672, "key": "fcv_pads_east_africa:019805:30:0:0", "source": "camp2", "luna_reason": "Listed as planned project monitoring verification data, not existing evidence used.", "drop_reason": "promissory", "specificity": "named"}]}
{"text": "br>for Child Mortality Estimation
** UN MDG Report 2011
*** World Health Statistics 2011**** UN Data 2003-2009
***** United Nations Children’s’ Emergency Fund (UNICEF) Progress for children 2007|* Levels and Trends in Child Mortality Repost 2011 Estimates developed by the UN inter-agency Group
for Child Mortality Estimation
** UN MDG Report 2011
*** World Health Statistics 2011**** UN Data 2003-2009
***** United Nations Children’s’ Emergency Fund (UNICEF) Progress for children 2007|\n\n\n\n**B.** **Program Scope**\n\n6. The HSDP IV provides the overarching strategic framework for the health sector and reflects\nGovernment of Ethiopia’s commitment to achieve the Health MDGs. It supports human capital\ndevelopment and remains the critical vehicle for achieving Ethiopia’s Growth and Transformation Plan\n(GTP) goals related to health. HSDP IV envisions a strong “client centric” approach to improve access to\n\n\n1 Ethiopia Demographic and Health Survey 2011\n\n5", "corpus": "fcv", "origin": "fcv_pads_east_africa", "corpus_id": "fcv_pads_east_africa:008239", "page": 4, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "World Health Statistics 2011", "probe_tag": "confusion", "probe_score": 0.4578474760055542, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 66, "end": 94, "key": "fcv_pads_east_africa:008239:4:2:0", "source": "camp2", "luna_reason": "Named statistics report cited as source for child mortality estimates.", "usage_type": "evidential", "specificity": "named"}, {"text": "UN Data 2003-2009", "probe_tag": "confusion", "probe_score": 0.28994059562683105, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 99, "end": 116, "key": "fcv_pads_east_africa:008239:4:2:1", "source": "camp2", "luna_reason": "Named UN Data source cited for child mortality estimates.", "usage_type": "declaration", "specificity": "named"}]}
@@ -99,7 +99,7 @@
{"text": " evaluation\nof NDP-1 in Uganda, March 2019. State of Uganda Population Report 2018.\n4 World Bank World Development Indicators (2017).\n5 Uganda National Household Survey, Uganda Bureau of Statistics, 2017.\n6 World Bank World Development Indicators (2013).\n7 Uganda’s economy slowed from an average of 7% annual GDP growth in the early 2000s to 4.5% in the 5 years leading up to 2017.\n8 Uganda: Driving inclusive socio-economic progress through mobile-enabled digital transformation, GSMA, 2019.\n9 Ibid.\n\n\nJul 22, 2019 Page 3 of 28", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000063", "page": 2, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "State of Uganda Population Report 2018", "probe_tag": "keep", "probe_score": 0.9324547052383423, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 44, "end": 82, "key": "jdc_operational:000063:2:2:0", "source": "camp2", "luna_reason": "Named existing population report cited as a source.", "usage_type": "declaration", "specificity": "named"}, {"text": "World Bank World Development Indicators", "probe_tag": "confusion", "probe_score": 0.889045000076294, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 86, "end": 125, "key": "jdc_operational:000063:2:2:1", "source": "camp2", "luna_reason": "Named World Bank indicator dataset cited as an existing statistical source.", "usage_type": "declaration", "specificity": "named"}]}
{"text": " Under the PBCs, the World Bank\nwill finance particular expenditures which are a part of the project’s budget of eligible activities. These\nexpenditures are clearly identifiable in GoU integrated financial management information system and are referred\nto as Eligible Expenditure Programs and include expenditures under Component 1. Following a sector-support\nprogram principle, the World Bank funds earned through PBCs may not be separately tracked and the World Bank\nwill accommodate withdrawal applications from the financing as long as the overall expenditures eligible under\nthe EEPs are more than or equal to the amount to be withdrawn from the World Bank, and fiduciary control and\noversight of the funding is acceptable to the World Bank. Total EEPs will be annually tracked through external\naudits and aggregated for the life of project. The expenditure mechanism satisfies Bank policy and in particular\nthe three pillars in OP 6.00, namely, (a) the expenditures are productive and necessary for the success of the\nsector program; (b) they contribute to solutions within a fiscally sustainable framework; and (c) acceptable\noversight arrangements are in place.\n\n\n99. **Eligible Expenditure Program** for the PBC component will include the following:\n(i) Vote (500-800) LGs School Capitation Grants;\n(ii) Vote (500-800) LG School Inspection; and\n(iii) Vote (500-800) Staff Salaries for Secondary Education.\n\n100. **Audits.** The Ministry has an active Internal Audit department with practical experience on the previous\nand existing IDA projects. The internal audit unit is guided by an internal audit manual issued by the GoU that\nemphasizes a risk-based approach and value for money audits, policy and procedures, compliance reviews, and\nspecial investigations. The department needs to improve on submission of internal audit reports. External auditing\nis primarily a responsibility of the Auditor General for all government programs and projects. The audit may be\nsubcontracted to private auditors, with the final", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000018", "page": 38, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "GoU integrated financial management information system", "probe_tag": "confusion", "probe_score": 0.7159643769264221, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 181, "end": 235, "key": "jdc_operational:000018:38:1:0", "source": "camp2", "luna_reason": "Financial management system supports expenditure tracking, routine project bookkeeping rather than substantive data analysis.", "drop_reason": "bookkeeping", "specificity": "named"}]}
{"text": "**The World Bank**\nSouth Sudan Enhancing Community Resilience and Local Governance Project (P169949)\n\n\nconflict-affected areas and more stable areas; and ensure that more conflict-affected areas benefit from\nthe project as they have historically been deprived of assistance due to insecurity. The targeting principles\nare summarized in figure 1.\n\n\n**Figure 1. Geographic Targeting Principles**\n\n\n\n**Vulnerability**\n\n\n•Concentration of\nreturnees\n•Access to basic\nservices\n•Food insecurity\n•Violence\n•Exposure to\nclimate-sensitive\nnatural hazards\n•Remoteness\n\n\n\n**Feasibility**\n\n\n•Accessibility\n•Security\n•Local dynamics\n•County government\nsupport\n\n\n\n**Equity**\n\n\n•Both conflictaffected areas and\nmore stable areas\n\n\n\n**Quick Wins**\n\n\n•LGSDP unfunded\nsubproject\n\n\n\n31. Combined with quick wins, the ECRP will target both conflict-affected and more stable counties\nas shown figure 2 (see annex 2 for details).\n\n\n**Figure 2. Vulnerable Counties with Quick Wins**\n\n\n32. **Subproject budget allocation.** The subproject budget allocation for the new counties will be\ncalculated on a per capita basis using humanitarian agencies’ latest population data. There will be two\nrounds of allocations per county to maximize communities’ learning by doing. Counties will need to meet\na set of basic performance indicators to be eligible for the second allocation. These include (a)\nparticipation rate of women, youths, IDPs, and returnees in the subproject planning and implementation;\n(b) satisfactory collaboration during community mobilization; (c) timely implementation of the\n\n\nPage 20 of 94", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000049", "page": 25, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "population data", "probe_tag": "confusion", "probe_score": 0.7051818370819092, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1130, "end": 1145, "key": "jdc_operational:000049:25:0:0", "source": "camp2", "luna_reason": "Humanitarian agencies’ population data calculate per-capita subproject allocations.", "usage_type": "evidential", "specificity": "descriptive"}]}
-{"text": "**The World Bank**\nLebanon: Wheat supply emergency response project (P178866)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **The war in Ukraine has delivered a major shock to global commodity markets** . In 2021, Russia was the\nlargest natural gas-exporting country in the world, and the second-largest crude oil and condensates-exporting\ncountry. Russia and Ukraine together represent between 25 and 30 percent of the global wheat market, while\nRussia (and Belarus) are also major exporters of fertilizers. The disruptions from the conflict (sanctions,\nbreakdowns in supply, etc.) had an immediate impact on global fuel and food prices. Oil prices have increased by\nabout 90 percent compared to March 2021. Wheat prices have increased by 50 percent since early February 2022\nand 80 percent since March 2021, and they are now at an all-time high. The cutoff of exports from Russia and\nUkraine poses an immediate threat to major wheat-consuming countries with high shares of wheat imports from\nRussia and/or Ukraine.\n\n2. **Lebanon is heavily dependent on wheat imports, most of which came from Ukraine and Russia before**\n**the crisis** . A country with limited agronomic potential for wheat production, Lebanon imports about 80 percent\nof all the wheat it consumes. In the years preceding the conflict, Lebanon has been importing about 580 thousand\ntons of wheat annually (2018-2020 average, COMTRADE) for a yearly trade value of US$134 million (2018-2020\naverage, COMTRADE). In 2020, 96 percent of Lebanon’s wheat imports were sourced from Ukraine (80 percent of\ntotal wheat imports), and Russia (16 percent of total wheat imports), respectively.\n\n3. **The conflict comes at a time when Lebanon has been grappling with the direst of shocks**, starting", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000019", "page": 11, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "COMTRADE", "probe_tag": "keep", "probe_score": 0.913017749786377, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1408, "end": 1416, "key": "jdc_operational:000019:11:0:0", "source": "camp2", "luna_reason": "COMTRADE data supports Lebanon's reported average wheat import volume.", "usage_type": "evidential", "specificity": "named"}, {"text": "COMTRADE", "probe_tag": "confusion", "probe_score": 0.8131449222564697, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1408, "end": 1416, "key": "jdc_operational:000019:11:0:1", "source": "camp2", "luna_reason": "COMTRADE data support Lebanon’s reported wheat import volume.", "usage_type": "evidential", "specificity": "named"}]}
+{"text": "**The World Bank**\nLebanon: Wheat supply emergency response project (P178866)\n\n\n**I.** **STRATEGIC CONTEXT**\n\n\n**A. Country Context**\n\n\n1. **The war in Ukraine has delivered a major shock to global commodity markets** . In 2021, Russia was the\nlargest natural gas-exporting country in the world, and the second-largest crude oil and condensates-exporting\ncountry. Russia and Ukraine together represent between 25 and 30 percent of the global wheat market, while\nRussia (and Belarus) are also major exporters of fertilizers. The disruptions from the conflict (sanctions,\nbreakdowns in supply, etc.) had an immediate impact on global fuel and food prices. Oil prices have increased by\nabout 90 percent compared to March 2021. Wheat prices have increased by 50 percent since early February 2022\nand 80 percent since March 2021, and they are now at an all-time high. The cutoff of exports from Russia and\nUkraine poses an immediate threat to major wheat-consuming countries with high shares of wheat imports from\nRussia and/or Ukraine.\n\n2. **Lebanon is heavily dependent on wheat imports, most of which came from Ukraine and Russia before**\n**the crisis** . A country with limited agronomic potential for wheat production, Lebanon imports about 80 percent\nof all the wheat it consumes. In the years preceding the conflict, Lebanon has been importing about 580 thousand\ntons of wheat annually (2018-2020 average, COMTRADE) for a yearly trade value of US$134 million (2018-2020\naverage, COMTRADE). In 2020, 96 percent of Lebanon’s wheat imports were sourced from Ukraine (80 percent of\ntotal wheat imports), and Russia (16 percent of total wheat imports), respectively.\n\n3. **The conflict comes at a time when Lebanon has been grappling with the direst of shocks**, starting", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000019", "page": 11, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "COMTRADE", "probe_tag": "keep", "probe_score": 0.913017749786377, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1408, "end": 1416, "key": "jdc_operational:000019:11:0:0", "source": "camp2", "luna_reason": "COMTRADE data supports Lebanon's reported average wheat import volume.", "usage_type": "evidential", "specificity": "named"}]}
{"text": " the potential to expand markets for commodities produced by small‐scale\nproducers, enhance the local economy, and contribute to strengthen communities’ resilience.\n\n\n3. **Methodology.** The analysis characterizes potential benefit streams from subcomponent 1.1 and 1.2,\nwhich cannot be quantified in this analysis; and provides a cost‐benefit analysis (CBA) for investments to\nrestart crop and livestock production under subcomponent 2.1 (with a budget of US$7.5 million). For the\nCBA, assumptions and results are reported in constant US$ terms. Where applicable the analysis uses the\nshadow exchange rate, of US$1 equal to 110 SSP (March 2017, source: personal communication). For the\neconomic analysis, financial prices and costs are converted to economic values using conversion factors\nranging from 0.7 to 1.1, to reflect the differences between local and imported crop prices including\ntransport and non‐tariff barriers, a 15 percent value added tax (agricultural inputs are exempt), and the\nshadow cost of labor. 19 [^19: Based on data in Table 32 of World Bank 2012 (Agricultural Potential, Rural Roads, and Farm Competitiveness in South Sudan),\nthe following factors were used: sorghum price factor = 0.7, maize price factor = 1.1, a simple average was used for the investment\ncosts factor = 0.9, a lower factor was used for the shadow cost of labor = 0.8, and the operating costs factor was approximated\nas 0.85 assuming no VAT and 75 percent labor.] Most assumptions are taken from the economic analysis of a related project ‐\nSouthern Sudan EFCRP (P147900; 2014).\n\n\n4. **Beneficiaries.** The project targets approximately about: (i) 250,000 people benefiting from direct\nfood assistance; (ii) 200,000 children and pregnant/lactating mothers benefiting from nutrition support;\n(iii) 200,", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000038", "page": 64, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "data in Table 32 of World Bank 2012", "probe_tag": "confusion", "probe_score": 0.8333654999732971, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1049, "end": 1084, "key": "jdc_operational:000038:64:1:0", "source": "camp2", "luna_reason": "Existing World Bank table data informs conversion-factor calculations.", "usage_type": "evidential", "specificity": "named"}]}
{"text": " due to irregularities and lack of transparency in local tax administration, obstruction of\ninvestments by some unscrupulous politicians, and a general perception that LGs do not offer useful support,\nwithin their mandates, for local private sector development 11 . In addition, little support is provided to local\nfirms by municipal LGs, even though they have the mandate to provide support to micro-enterprises and\nother firms through the Commercial Office. There is also an absence of meaningful public private dialogue,\nparticularly in terms of consulting the private sector in the development of local development plans. The\nstudy made three main recommendations to LGs in Uganda: (i) to make infrastructure investments that are\nbetter prioritized according to local economic potentials – building on the major recent investments in roads\nand connectivity to transition to other strategic investments in tourism site development, market\n\n4 Arch Design Ltd, 2012 – Municipal Assets Inventory and Conditions Assessment Final Report\n5 From UGX 37 million in 1993/4 to UGX1.6 trillion in 2011/12.\n6 Local Government Finance Commission (2012) **.** Review of Local Government Financing: Financing Management and\nAccountability for Decentralized Service Delivery.\n7 FDA section 7.2\n8 DDEG has replaced the Local Development Grant (LDG) as part of the broader GoU IGFT reform\n9 For example, unit costs of paving 1 km of urban road ranges between US$800,000 to US$1 million and for a primary drainage\n(with box culverts at road crossings and armoflex linings) about US$500,000 to US$1.1 million per km.\n10 USAID (2015) Ugandan Decentralization Policy and Issues Arising in the Health and Education Sectors: A Political Economy\nStudy. October 2015.\n11 World Bank 2016. _Uganda - Repositioning local governments for economic growth_ . Washington, DC: World Bank.\n\n\n2", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000062", "page": 9, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "Municipal Assets Inventory and Conditions Assessment", "probe_tag": "confusion", "probe_score": 0.6535274386405945, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 980, "end": 1032, "key": "jdc_operational:000062:9:2:0", "source": "camp2", "luna_reason": "Named existing assessment report cited as a source.", "usage_type": "declaration", "specificity": "named"}]}
{"text": " pressures. The regionalization of the terrorist\nthreat posed by Boko Haram has further disrupted Chad’s economy, trade with its neighbors and\nthe overall fiscal situation, given the significant investment by the Government of Chad in regional\nsecurity initiatives. This investment is primarily in the form of increased participation of the\nChadian armed forces in internationally supported military efforts against Boko Haram, including\nthe Joint Multinational Force and the G5 Sahel Cross-Border Joint Force. 2 [^2: The G5 Sahel countries (Burkina Faso, Chad, Mali, Mauritania and Niger) are facing an increase in terrorist threats and organized\ncrime, which are destabilizing the region. To address these common challenges, two initiatives have been launched: The G5 Sahel\nCross-Border Joint Force, which illustrates the willingness of African nations to take charge of their own security; and the Sahel\nAlliance, which is based on reciprocal accountability between the major development partners and the G5 States and on significant\ninvestments in economic and social development in the G5 Sahel countries. The Sahel Alliance was launched in July 2017 by\nFrance, Germany and the EU, with the WB, UNDP and AfDB as founding partners, now joined by Italy, Spain, the United Kingdom\nand Luxembourg. Source: G5 Sahel Joint Force and the Sahel Alliance, _France Diplomatie_, January 2018.]\n\n3. **The 2015 Chad Systematic Country Diagnostic (SCD) found that Chad’s high rate of**\n**monetary poverty is accompanied by very low human development indicators.** **3** [^3: Republic of Chad: Priorities for Ending Poverty and Boosting Shared Prosperity; Systematic Country Diagnostic, The World\nBank Group, Report No. 96537-TD, Washington, 2015.] Chad ranks\n184 th out of 187 countries in the 2014 Human Development Indicators Index. Average schooling\nwas just 1.5 years in 2009. The adult literacy rate was 22 percent and the literacy rate", "corpus": "fcv", "origin": "jdc_operational", "corpus_id": "jdc_operational:000035", "page": 10, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "2015 Chad Systematic Country Diagnostic", "probe_tag": "confusion", "probe_score": 0.804153323173523, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1409, "end": 1448, "key": "jdc_operational:000035:10:1:0", "source": "camp2", "luna_reason": "Named diagnostic cited as evidence for Chad’s poverty and human development findings.", "usage_type": "evidential", "specificity": "named"}, {"text": "2014 Human Development Indicators Index", "probe_tag": "confusion", "probe_score": 0.42743954062461853, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1818, "end": 1857, "key": "jdc_operational:000035:10:1:1", "source": "camp2", "luna_reason": "Index ranking provides a concrete development finding.", "usage_type": "evidential", "specificity": "named"}]}
@@ -141,10 +141,10 @@
{"text": "* Popular Benchmarks\n**children.**\n\n\n**Project** **Development** **Outcome** **/** **Impact** **Project reports:** **(from** **Objective** **to Goal)**\n**Objective:** **Indicators:**\n**Assist** **war affected** - Improved social capital and - Initial Social Assessment - Communities in the NSAP\n**communities** **to restore** organizational development; (to establish indicators and target areas are assisted to\n**infrastructure,** **services** **and** - Increased access to and use methodologies for social ensure a reduced risk of\n**build** **local** **capacity for** of social and economic capital and organizational conflict\n**collective** **action.** Priority infrastructure and services development)\nwill be given to areas not - Proportion of NSAP - Annual social assessments; - NACSA complements and\npreviously serviced by investments targeted to newly - NaCSA M&E data; extends the work of other\ngovernment, newly accessible accessible areas, & areas - M&E data of relevant line agencies and rninistries\nand the most vulnerable previously not served, and mninistries; in support of the PRSP's\npopulation groups within those vulnerable people within these - Beneficiary Assessment poverty reduction and\nareas. areas; (BAs) biannually; decentralization objectives\n\n - Proportion of sub-projects - Participatory evaluation\nthat reflect priorities of reports for a random sample of - NACSA is fully integrated\ntargeted communities and assisted conmmunities; into national planning and\nbeneficiaries; and - Technical audits resource allocation\n\n - Proportion of sub-projects frameworks (such as the\noperative 24emonths after National Recovery Strategy,\ncorpletion. the PRSP, and", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000013", "page": 29, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "NaCSA M&E data", "probe_tag": "confusion", "probe_score": 0.2118355929851532, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 862, "end": 876, "key": "refugee_pads:000013:29:1:0", "source": "camp2", "luna_reason": "Named NaCSA monitoring data listed as a project-report source.", "usage_type": "declaration", "specificity": "named"}, {"text": "M&E data", "probe_tag": "confusion", "probe_score": 0.11440254747867584, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 961, "end": 969, "key": "refugee_pads:000013:29:1:1", "source": "camp2", "luna_reason": "Listed as a project monitoring source, without an existing finding or analyzed use.", "drop_reason": "promissory", "specificity": "vague"}]}
{"text": "i) well designed and timely information campaign which is\nexpected to be instrumental in raising awareness among the beneficiaries; (ii) utilization\nof existing NPTP system and individualized photo identification cards will ensure that the\nproject reaches the targeted poor and avoids potential enrollment errors, and minimizes\nfraud.\n\n - **_Institutional capacity for implementation and sustainability implementation:_** To\n\nmitigate this risk, MoPH is already undertaking measures which will be further supported\nby the project as follows: (i) providing a lump sum upfront budget to PHCCs as part of\ntheir contracts to advance the implementation readiness and provide flexibility to recruit\nadditional health workers and provide training as needed; (ii) completing a facilities\nsurvey that will help to identify needs and gaps of the PHCCs to allow for a more\ntargeted capacity building activities including preparing PHCCs for contracting,\nimplementation readiness activities and helping with preparing for new staff selection;\n(iii) establishing quotas for the number of patients per facility to ensure provision of\nadequate support for optimal PHCC utilization; (iv) building consensus and sharing\nproject achievements throughout the implementation among all the stakeholders to ensure\ntheir ownership of the program in keeping the commitment of key stakeholders to sustain\nthe program; and (v) preparing and maintaining a disbursement plan which will be based\non the overall budget and the procurement plan.\n\n\n23", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000020", "page": 22, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "facilities\nsurvey", "probe_tag": "confusion", "probe_score": 0.6069088578224182, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 770, "end": 787, "key": "refugee_pads:000020:22:1:0", "source": "camp2", "luna_reason": "Planned survey production to identify future facility needs and gaps.", "drop_reason": "production", "specificity": "descriptive"}]}
{"text": " **whose successful**\n**achievements would greatly rely on the digital sector.** NDP III, which covers FY21–25, notes that digital\ntechnology can play a key role in catalyzing the nation’s objectives, from raising agricultural productivity to\nimproving broadband infrastructure, workforce competitiveness, and service delivery. The project will also\ncontribute to the enhancement of refugee protection in accordance with NDP III’s Governance and Security\nProgram Implementation Action Plan. This project is being designed to support the implementation of the GovNet\ninitiative, which is the government’s flagship initiative that contributes to the objectives of Digital Uganda Vision\nand the Digital Transformation Program under NDP III. The project is also directly aligned with the Digital\nTransformation for Africa initiative of the African Union, which aims to have every African individual, business,\n\n\n40 2020 UN e-Government Development Index.\n41 Third National Development Plan (NDP III) 2020/21– – 2024/25, National Development Authority\nhttps://www.fowode.org/publications/research/40-national-development-plan-3/file.html\n\n\nPage 7 of 76", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000075", "page": 19, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "2020 UN e-Government Development Index", "probe_tag": "confusion", "probe_score": 0.7881839871406555, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 917, "end": 955, "key": "refugee_pads:000075:19:2:0", "source": "camp2", "luna_reason": "Standalone numbered reference-list entry, not demonstrated data use.", "drop_reason": "ref_list", "specificity": "named"}]}
-{"text": "**The World Bank**\nProductive Safety Net for Socioeconomic Opportunities Project (P177663)\n\n\nprotective support to HHs and investment in resilience building community assets will help sustain livelihoods, strengthen\nresilience, and prevent the most vulnerable from falling into destitution or being forcibly displaced. It will also directly\nsupport the Government’s Community Empowerment and Socioeconomic Development Strategy for Refugee Hosting\nAreas in South Sudan, with cash transfers promoting section 4.6 of the strategy on creation of livelihood and income\ngenerating opportunities given the lack of employment prospects in refugee-hosting environments.\n\n37. **In the absence of an enabling environment for widescale mobile payment systems, beneficiaries will receive**\n**physical cash at the time of payment, except for Juba where mobile money payment will be piloted.** A financial service\nprovider (i.e., paying agent), which will be competitively selected by the MAFS, will deliver cash to beneficiaries. The\nMAFS will provide the recipient list and amount of money to the financial service provider, and the list of beneficiaries\nwill be generated from the MIS. The MIS will capture beneficiaries' biometric data, which will be used to ensure that only\nthe eligible individuals will receive the cash transfer. The financial service provider pays beneficiaries verifying them\nbiometrically. In addition, implementing partners (i.e., UNOPS and NGOs contracted by MAFS to implement the project)\nand community leaders will be present and monitor the transfer process to ensure transparency and accountability.\nBased on the findings of a recently concluded analytical work, the project will pilot the use of mobile money payments\nin Juba. Mobile money payments would help strengthen transparency and safety and were assessed to be feasible in\nlarge urban center like Juba under the SSSNP. This pilot would inform potential future scale up of mobile money payments\nin urban areas.\n\n**Sub-component 1.1: Cash for Labor-Intensive Public Works and Complementary Social Measures** *", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000153", "page": 23, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "MIS", "probe_tag": "confusion", "probe_score": 0.14153693616390228, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1169, "end": 1172, "key": "refugee_pads:000153:23:0:0", "source": "camp2", "luna_reason": "MIS data generates the beneficiary list for cash-transfer targeting.", "usage_type": "declaration", "specificity": "vague"}, {"text": "MIS", "probe_tag": "confusion", "probe_score": 0.1966535449028015, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1169, "end": 1172, "key": "refugee_pads:000153:23:0:1", "source": "camp2", "luna_reason": "Beneficiary list will be generated from the MIS.", "drop_reason": "production", "specificity": "named"}]}
+{"text": "**The World Bank**\nProductive Safety Net for Socioeconomic Opportunities Project (P177663)\n\n\nprotective support to HHs and investment in resilience building community assets will help sustain livelihoods, strengthen\nresilience, and prevent the most vulnerable from falling into destitution or being forcibly displaced. It will also directly\nsupport the Government’s Community Empowerment and Socioeconomic Development Strategy for Refugee Hosting\nAreas in South Sudan, with cash transfers promoting section 4.6 of the strategy on creation of livelihood and income\ngenerating opportunities given the lack of employment prospects in refugee-hosting environments.\n\n37. **In the absence of an enabling environment for widescale mobile payment systems, beneficiaries will receive**\n**physical cash at the time of payment, except for Juba where mobile money payment will be piloted.** A financial service\nprovider (i.e., paying agent), which will be competitively selected by the MAFS, will deliver cash to beneficiaries. The\nMAFS will provide the recipient list and amount of money to the financial service provider, and the list of beneficiaries\nwill be generated from the MIS. The MIS will capture beneficiaries' biometric data, which will be used to ensure that only\nthe eligible individuals will receive the cash transfer. The financial service provider pays beneficiaries verifying them\nbiometrically. In addition, implementing partners (i.e., UNOPS and NGOs contracted by MAFS to implement the project)\nand community leaders will be present and monitor the transfer process to ensure transparency and accountability.\nBased on the findings of a recently concluded analytical work, the project will pilot the use of mobile money payments\nin Juba. Mobile money payments would help strengthen transparency and safety and were assessed to be feasible in\nlarge urban center like Juba under the SSSNP. This pilot would inform potential future scale up of mobile money payments\nin urban areas.\n\n**Sub-component 1.1: Cash for Labor-Intensive Public Works and Complementary Social Measures** *", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000153", "page": 23, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "MIS", "probe_tag": "confusion", "probe_score": 0.14153693616390228, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1169, "end": 1172, "key": "refugee_pads:000153:23:0:0", "source": "camp2", "luna_reason": "MIS data generates the beneficiary list for cash-transfer targeting.", "usage_type": "declaration", "specificity": "vague"}]}
{"text": " supply service constraints faced by the municipalities in delivering\neffective and efficient services, including: (a) frequent pipe breakage and subsequent contamination of water due\nto severe corrosion of existing pipes (cast iron, asbestos cement), and high pressure fluctuations – water utility\nrecords show about 200 calls per month, with about 30 percent of these related to the main network and 60\npercent to customer connections; and (b) non-revenue water is very high at 56 percent, of which 49 percent are\nreal losses.\n\n\n33. **Osmaniye Centrum Sewerage project.** Osmaniye sewerage project aims renewal of 403 km of wastewater\ncollection network. The existing collection network was mainly constructed in 1985 and is prone to deficiencies\ndue to aging and connection types used at that time. The high groundwater level also creates problems such as\nhigh amount of infiltration to the pipes and entrance of soil granules to network, which creates additional costs\nfor operation. It is stated that approximately 100 failure calls are received from customers due to failure and/or\ncollapse of pipes.\n\n\n34. The project is expected to lead to significant efficiency improvements for the operation of water distribution\nnetwork and wastewater collection system for Osmaniye Municipality. The investments in the water distribution\nnetwork will decrease energy consumption, water losses and non-revenue water. This will also allow the\nMunicipality to meet water demand until water is received from Aslantaş dam. Also, failure calls received for both\nwater and wastewater pipelines will be decreased. The improvement in wastewater collection network is also\nexpected to reduce possible groundwater infiltration to the system thus may reduce the wastewater flow to the\nWWTP. The proposed investments for Osmaniye are summarized as follows (Table 2.6):\n\n\n**Table 2.6: Osmaniye investment components**\n**No** **Investment name** **Scope", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000125", "page": 69, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "water utility\nrecords", "probe_tag": "confusion", "probe_score": 0.811150848865509, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 285, "end": 306, "key": "refugee_pads:000125:69:1:0", "source": "camp2", "luna_reason": "Utility records provide concrete call volumes and network-related shares.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "Number of female staff provided with
trainings
|Number of female staff provided with
trainings
|\n|Share of project beneficiaries who report
that the project has established effective
engagement processes|The indicator will measure
satisfaction of beneficiaries
with the engagement
processes established under
the project. Engagement
processes are designed to
serve two objectives -
ensure local demands and
concerns are accounted for
during the project design
and improve accountability
in provision of services.
Overall satisfaction of
beneficiaries (households in|Every
citizen
engageme
nt
channel wi
ll be
monitored
with the
appropriat
e
frequency.
Consolidat
ed
informatio|Multiple
sources -
community
mobilization
company
reports, PMU
data, self-
reported
data, reports
of target
utilities,
survey data.
|Methodology for each
CE channel will be
reported separately as
prescribed in the POM.
|MEWR, KMK, PMU
|\n\n\nPage 58 of 89", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000162", "page": 61, "chunk": 4, "split": "holdout_annotate", "spans": [{"text": "survey data", "probe_tag": "confusion", "probe_score": 0.06257683783769608, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 966, "end": 977, "key": "refugee_pads:000162:61:4:0", "source": "camp2", "luna_reason": "Survey data is listed for future monitoring rather than cited as existing evidence.", "drop_reason": "promissory", "specificity": "vague"}]}
-{"text": " boxes at the _colline_ -level in the\ncare of a civil society organization, possibly a hotline at central-level. Complaints received through\nSMS, phone or boxes will be logged in the MIS. A results indicator to track the progress of the\nimplementation of the GRM system has been included in the results framework.\n\n\n**_Subcomponent 2.3: Monitoring and evaluation (US$2.8 million equivalent)_**\n\n43. **Since the project is supporting new interventions and processes in Burundi, and in**\n**order to ensure transparency, the third sub-component will support process evaluations of**\n**the key program processes and an impact evaluation including beneficiary surveys** . The\nprocess evaluations will focus on the core operational processes: targeting, payment, delivery of\ncomplementary activities. The process evaluation in the first phase communes will inform the\nexpansion in the second phase but also provide key input in the design of the operating processes.\nThe process evaluations will continue in the second phase to provide real-time information about\nscale-up and implementation in different provinces. The process evaluation will be complemented\nby regular beneficiary surveys to help map out implementation successes and issues, externalities,\nand community dynamics and contribute to the establishment of the grievance redress mechanism.\n\n44. **The impact evaluation will focus on key poverty, welfare, and human development**\n**indicators at the household and community-levels for the cash transfers** . The random\nselection at the _colline_ -level will support a randomized control trial design based on a sample of\nparticipating and non-participating _collines_ . Baseline data will be collected prior to the first\ntransfer. A mid-term data collection will take place at 24 months. To evaluate the sustainability of\nimpacts, the end-line data collection will take place six months after the end of the program\nactivities (at 42 months).\n\n\n13", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000157", "page": 23, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "beneficiary surveys", "probe_tag": "confusion", "probe_score": 0.33407673239707947, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 643, "end": 662, "key": "refugee_pads:000157:23:1:0", "source": "camp2", "luna_reason": "Beneficiary surveys are planned as part of the project’s future impact evaluation.", "drop_reason": "production", "specificity": "descriptive"}, {"text": "beneficiary surveys", "probe_tag": "confusion", "probe_score": 0.6031164526939392, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 643, "end": 662, "key": "refugee_pads:000157:23:1:1", "source": "camp2", "luna_reason": "Planned beneficiary surveys are project-generated evaluation data, not existing data use.", "drop_reason": "production", "specificity": "descriptive"}, {"text": "Baseline data", "probe_tag": "drop", "probe_score": 0.029786886647343636, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1677, "end": 1690, "key": "refugee_pads:000157:23:1:2", "source": "camp2", "luna_reason": "Baseline data will be collected in the future as part of the project.", "drop_reason": "production", "specificity": "vague"}]}
+{"text": " boxes at the _colline_ -level in the\ncare of a civil society organization, possibly a hotline at central-level. Complaints received through\nSMS, phone or boxes will be logged in the MIS. A results indicator to track the progress of the\nimplementation of the GRM system has been included in the results framework.\n\n\n**_Subcomponent 2.3: Monitoring and evaluation (US$2.8 million equivalent)_**\n\n43. **Since the project is supporting new interventions and processes in Burundi, and in**\n**order to ensure transparency, the third sub-component will support process evaluations of**\n**the key program processes and an impact evaluation including beneficiary surveys** . The\nprocess evaluations will focus on the core operational processes: targeting, payment, delivery of\ncomplementary activities. The process evaluation in the first phase communes will inform the\nexpansion in the second phase but also provide key input in the design of the operating processes.\nThe process evaluations will continue in the second phase to provide real-time information about\nscale-up and implementation in different provinces. The process evaluation will be complemented\nby regular beneficiary surveys to help map out implementation successes and issues, externalities,\nand community dynamics and contribute to the establishment of the grievance redress mechanism.\n\n44. **The impact evaluation will focus on key poverty, welfare, and human development**\n**indicators at the household and community-levels for the cash transfers** . The random\nselection at the _colline_ -level will support a randomized control trial design based on a sample of\nparticipating and non-participating _collines_ . Baseline data will be collected prior to the first\ntransfer. A mid-term data collection will take place at 24 months. To evaluate the sustainability of\nimpacts, the end-line data collection will take place six months after the end of the program\nactivities (at 42 months).\n\n\n13", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000157", "page": 23, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "beneficiary surveys", "probe_tag": "confusion", "probe_score": 0.33407673239707947, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 643, "end": 662, "key": "refugee_pads:000157:23:1:0", "source": "camp2", "luna_reason": "Beneficiary surveys are planned as part of the project’s future impact evaluation.", "drop_reason": "production", "specificity": "descriptive"}, {"text": "Baseline data", "probe_tag": "drop", "probe_score": 0.029786886647343636, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1677, "end": 1690, "key": "refugee_pads:000157:23:1:2", "source": "camp2", "luna_reason": "Baseline data will be collected in the future as part of the project.", "drop_reason": "production", "specificity": "vague"}]}
{"text": "**Annex 6: Implementation Arrangements**\n\n**West Bank and Gaza: Social Safety Net Reform Project**\n\n\nImplementation arrangements have been kept as simple as possible and build on the successful\nimplementation experience gained under the Emergency projects. The Ministry of Social Affairs will\nimplement the project using the administrative structure of the existing SHC program, and will coordinate\nprogram operations with MOH, MOEHE, MOF, MOPT, PCBS and UNRWA. Chart 1 shows the main\nagencies participating in the implementation of the SSNRP. An abbreviated description of the agencies’\nroles and responsibilities i s given below. Detailed descriptions are given in Annex 6 and in the\nOperational Manual.\n\nThe M O F will be responsible for allocating the financial resources for the program (World Bank, Donors\nand PA funds) and will monitor financial aspects of the project for reporting to donors and for internal\nuse. M O H and MOEHE will provide support on beneficiary compliance with conditions and related\npolicy aspects. UNRWA will coordinate with MOSA beneficiary targeting and compliance with\nconditions. PCBS will provide assistance on poverty mapping and statistical data on income and\nexpenditure for the application o f the targeting instrument and verification. MOSA will coordinate with\nthe M O F and MOPT on the allocation of funds to the Post Banks for cashing checks issued by MOSA to\nbeneficiaries (also see Annex **7** for details).\n\nCoordination of project implementation will take place at the following two levels:\n\n\n(i) The first level of coordination would consist of an ad hoc Policy Coordination Committee with\nthe ministers or their designated representatives of MOSA, MOF, MOH, and MOEHE to discuss\nand agree on beneficiary targeting and payments policy.\n(ii) The second level of coordination will take place at the muderiats or district, where the local\nrepresentatives of the ministries of MOSA, M O H and MOEHE will coordinate data on\nbeneficiary compliance with conditions. Coordination on operational matters with UNRWA will", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000047", "page": 43, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "statistical data", "probe_tag": "drop", "probe_score": 0.026108887046575546, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1167, "end": 1183, "key": "refugee_pads:000047:43:0:0", "source": "camp2", "luna_reason": "Existing statistical data informs poverty targeting and verification.", "usage_type": "declaration", "specificity": "vague"}]}
{"text": " a v\nManufacturIng 5 7 3.7 4 7 5 0 / s \\\\t oo Services 475 272 190 201\n\nPrfvate consumpffon 90 7 81 9 938 95 1 20\nGeneral govemment consumption 7 0 9 6 146 17.2 =c ~GDFDl\nImpons of goods and servrcea 39 7 23 6 33 4 373 -3GW_G_____\n\n\n_(average_ _annual growth)_ 1981-9 1991401 2000 2001 Growth ot exports and Imports (%)\n\nAgrutumre -0 6 -2 6 2 2 3 8 oo\nIndustry 0.1 -41 51 5 6 s0\nManUnacturIng 6.9 . .\nServices -5 7 -5.4 4 0 51 \nPrivate oonsumpffon -2 0 -19 10 4 100 -50\nGeneral govemment consumption -5.1 -0 2 41.3 27 9 -100\nGross domestic Investment -06 3 0 50 - EOpois -tr-ports\nImports of goods and services -2 2 -151 85 0 61 3\n\n\nNote 2001 data are pretirrinary eastliates\n'The diamonds show four Key Indicators in the country (in bold) conipared with itS income-group average It data are missing, the diantond wiUt be rrconrrlte\n\n\n-56", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000017", "page": 60, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "2001 data", "probe_tag": "drop", "probe_score": 0.012844398617744446, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 639, "end": 648, "key": "refugee_pads:000017:60:2:0", "source": "camp2", "luna_reason": "Bare date-qualified data phrase lacks a named source or demonstrated data use.", "drop_reason": "ref_list", "specificity": "vague"}]}
{"text": " have been satisfactorily resolved out of
the total complaints received|\n|Frequency|Annual|\n|Data source|Fayda GRM system|\n|Methodology for Data Collection|Project progress report|\n|Responsibility for Data Collection|NIDP|\n|**Establishing scalable and secure Fayda ICT infrastructure**|**Establishing scalable and secure Fayda ICT infrastructure**|\n|**Proportion of up-time (over a one-year period) for the registration module of the ID system (Percentage) (Percentage)**|**Proportion of up-time (over a one-year period) for the registration module of the ID system (Percentage) (Percentage)**|\n|Description|The proportion of time that the Fayda registration module is available and working over a one-
year period|\n|Frequency|Annual|\n|Data source|Fayda system KPI|\n|Methodology for Data Collection|Fayda data analytics platform|\n|Responsibility for Data Collection|NIDP|\n|**Number of penetration tests conducted to prevent cyber-attacks and loss of data (Number)**|**Number of penetration tests conducted to prevent cyber-attacks and loss of data (Number)**|\n|Description|At least 4 penetration tests conducted each year during the 5-year project duration, intended to
proactively identify and address gaps in security (cyber and physical) of personal data to prevent
unauthorized access to or loss of data.|\n|Frequency|Annual|\n|Data source|Test reports by specialized firms|\n|Methodology for Data Collection|Project progress report|\n|Responsibility for Data Collection|NIDP|\n|**Inclusive and sustainable ID issuance**|**Inclusive and sustainable ID issuance**|\n|**Percentage of population", "corpus": "fcv", "origin": "refugee_pads", "corpus_id": "refugee_pads:000005", "page": 40, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "Fayda GRM system", "probe_tag": "drop", "probe_score": 0.047579195350408554, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 108, "end": 124, "key": "refugee_pads:000005:40:1:0", "source": "camp2", "luna_reason": "Names a GRM system without showing its data informing analysis or decisions.", "drop_reason": "system_registry", "specificity": "named"}, {"text": "Fayda system KPI", "probe_tag": "confusion", "probe_score": 0.228533074259758, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 754, "end": 770, "key": "refugee_pads:000005:40:1:1", "source": "camp2", "luna_reason": "Names a KPI source without showing its data used for analysis or findings.", "drop_reason": "system_registry", "specificity": "named"}]}
@@ -168,19 +168,19 @@
{"text": " una oportunidad para el desarrollo\n\n\ninformación detallada sobre las\ncaracterísticas de la vivienda y\nlos miembros del hogar. Se utiliza\npara monitorear la evolución de los\nindicadores de pobreza, bienestar\ny condiciones de vida en Perú. La\nENAHO es representativa a nivel\nnacional, urbano, rural y regional,\nasí como de las regiones naturales\n(costa, sierra y selva). Debido a\nla pandemia del COVID-19, las\nencuestas se realizaron de manera\npresencial y telefónica en el 2020 y\n2021. El presente informe limitó las\ncomunidades de acogida a las zonas\nurbanas, donde reside la mayoría de\nlos venezolanos (solo en Lima reside\nel 75 por ciento de los venezolanos\nen Perú según la ENPOVE 2022). El\nresultado es una muestra restringida\nde 53,711 individuos. La encuesta de\nnacionales se realizó varios meses\nantes que la encuesta de venezolanos\n(2021 versus inicios del 2022), lo\nque puede derivar en condiciones\neconómicas más favorables para los\nmigrantes debido al mejoramiento de\nlas condiciones económicas.", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001322", "page": 55, "chunk": 3, "split": "holdout_annotate", "spans": [{"text": "ENPOVE 2022", "probe_tag": "keep", "probe_score": 0.9886847138404846, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 678, "end": 689, "key": "reliefweb:001322:55:3:0", "source": "camp2", "luna_reason": "Named 2022 survey supports the reported Venezuelan population concentration.", "usage_type": "evidential", "specificity": "named"}, {"text": "encuesta de venezolanos", "probe_tag": "confusion", "probe_score": 0.7609413266181946, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 817, "end": 840, "key": "reliefweb:001322:55:3:2", "source": "camp2", "luna_reason": "Existing Venezuelan survey is compared by timing to explain differing economic conditions.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": " Mediterranean Sea from\nLibya to Europe, a decrease of 10% compared to 2022, but still far below the numbers of annual crossings between\n2014 and 2017. Among those who attempted the journey, 73% were disembarked in Italy, 1.6% in Tunisia, 0.5% in Malta,\nand 1.1% in Greece,⁹ while 24% were intercepted or rescued and disembarked in Libya. According to data available to\n\n\nIOM and UNHCR I JOINT ANNUAL OVERVIEW FOR 2023 3", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000246", "page": 2, "chunk": 2, "split": "holdout_annotate", "spans": [{"text": "data available to\n\n\nIOM and UNHCR", "probe_tag": "confusion", "probe_score": 0.34705692529678345, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 352, "end": 385, "key": "reliefweb:000246:2:2:0", "source": "camp2", "luna_reason": "Available data from IOM and UNHCR supports the reported crossing statistics.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "Appendix A Sources of Data, by Country\n\n\n56\n\n\nurban households, where almost\nall Venezuelans live. The sample\nincludes 447,888 Colombians and\nthe survey conducted a few months\nbefore the migrant survey (2022\nrather than 2021).\n\n\nEcuador\n\n\n**The analysis for Ecuador is based**\n**on the fourth round of the HFPS**\n**conducted** **in** **2022** **and** **the**\n**2019 Human Mobility and Host**\n**Communities** **Survey** **or** **EPEC** .\nThe fourth round of the HFPS was\na joint effort by the World Bank\nand UNDP to measure the impact\nof the COVID-19 pandemic on\nhouseholds in the LAC region. It\nalso gathered data on Venezuelan\nhouseholds to assess whether the\npandemic had a differential effect\non migrants. The phone survey is\nrepresentative of Venezuelans in\nEcuador and Ecuadorians 18 and\nolder who had an active cellphone\nnumber or a landline at home. Given\nthat most phone companies require\na national ID, it is likely that the\nsample underrepresents irregular\nmigrants. However, over 54 percent\nof respondents reported an irregular\nstatus. The unweighted sample\nincluded 503 Ecuadorians and 356\nVenezuelans living in Ecuador.\n\n\n**Most indicators come from the**\n**HFPS, some come from the EPEC** .\nThe 2019 EPEC—a joint effort\nby the World Bank and six other\norganizations (UNICEF, UNHCR, IOM,\nUNDP, the World Food Programme,\nand the United Nations Population\nFund)—was a face-to-face survey\nthat collected information on human\nmobility to evaluate the impact of\nVenezuelan migrants and refugees in\nEcuador. It is nationally representative\nand covers Venezuelan migrants and\nrefugees who entered the Ecuador\nsince 2016 and registered at a\n\n\n\ncheckpoint upon entry. For this report,\nmigrants and individuals in host\ncommunities are defined based on\ntheir place", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001190", "page": 55, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "HFPS", "probe_tag": "confusion", "probe_score": 0.5267940759658813, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 306, "end": 310, "key": "reliefweb:001190:55:0:1", "source": "camp2", "luna_reason": "Analysis is based on the fourth-round HFPS survey data.", "usage_type": "evidential", "specificity": "named"}]}
-{"text": " data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001058", "page": 17, "chunk": 3, "split": "holdout_annotate", "spans": [{"text": "monthly data", "probe_tag": "confusion", "probe_score": 0.44520387053489685, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 323, "end": 335, "key": "reliefweb:001058:17:3:0", "source": "camp2", "luna_reason": "Generic data phrase appears within a table description.", "drop_reason": "table_artifact", "specificity": "vague"}, {"text": "monthly data", "probe_tag": "confusion", "probe_score": 0.5700842142105103, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 323, "end": 335, "key": "reliefweb:001058:17:3:1", "source": "camp2", "luna_reason": "Fragment occurs within a table caption and does not independently constitute a data-use mention.", "drop_reason": "table_artifact", "specificity": "vague"}, {"text": "monthly data", "probe_tag": "confusion", "probe_score": 0.5392380952835083, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 323, "end": 335, "key": "reliefweb:001058:17:3:2", "source": "camp2", "luna_reason": "Fragment inside a table caption describing reporting frequency, not a standalone data use.", "drop_reason": "table_artifact", "specificity": "descriptive"}]}
+{"text": " data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
|**Table 6. Annual asylum applications lodged in industrialized countries by origin, 2007**
Covering 29 major asylum countries which provided monthly data to UNHCR. Values between 1 and 4 have been replaced with an asterisk.
See Annex I for country codes used.
", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001058", "page": 17, "chunk": 3, "split": "holdout_annotate", "spans": [{"text": "monthly data", "probe_tag": "confusion", "probe_score": 0.44520387053489685, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 323, "end": 335, "key": "reliefweb:001058:17:3:0", "source": "camp2", "luna_reason": "Generic data phrase appears within a table description.", "drop_reason": "table_artifact", "specificity": "vague"}]}
{"text": " explained that the dispersion\nof people of concern throughout the country at times\nmakes persons with disabilities difficult to be identified\nin remote locations, which might explain the low rate of\ndisability (0.55%).\n\n\n46 UNHCR, Global Focus UNHCR Operations Worldwide, data retrieved Jan\n2019, http://reporting.unhcr.org/node/28\n47 In Turkey, the government of Turkey maintains the registration data of the\npeople of concern.\n48 “Research has shown that if men and women received similar nutrition, medical\nattention, and general health care, women would live longer than men This is\nbecause women, on a whole, are more resistant to diseases and less prone to\ndebilitating genetic conditions” cited in https://en.wikipedia.org/wiki/Gender_\ndisparities_in_health\n\n\n\n\n- The rates of identification of mental illness are very\nlow in all locations, and likely due to the challenges in\ndefinitions and stigma associated with disclosure.\n\n\n- The number of males aged between 18-59 years with\na disability code is double that of females. This may be a\nresult of conflict acquired injuries and due to increased\nisolation of women with disabilities as well as higher\nrates of stigma that they experience. Whilst it is well\nrecognised that men have poorer health outcomes than\nwomen (in situations with equal access to health care) 48,\nthis does not account for the significant disparity, and\nthus, it is likely that a larger proportion are due to conflict\nacquired injuries and isolation and stigma experienced by\nwomen with disabilities.\n\n\n15", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001114", "page": 16, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "registration data of the\npeople of concern", "probe_tag": "confusion", "probe_score": 0.8267251253128052, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 386, "end": 428, "key": "reliefweb:001114:16:1:0", "source": "camp2", "luna_reason": "Names maintained registration data without showing its use for analysis or decisions.", "drop_reason": "system_registry", "specificity": "descriptive"}]}
{"text": " care for a family\nmember who became sick with the AIDS\nvirus.\n\n2) Would buy fresh vegetables from a vendor\nwhom they knew was HIV�/.\n\n3) Female teacher who is HIV�/ but not sick\nshould be allowed to continue teaching in\nschool.\n\n4) Would not want to keep the HIV�/ status\nof a family member a secret.\n\nPractices\n\n\nCondom use 1) Percent of men and women (aged 15 �24)\nwho used a condom at last sex with a\nnon-marital, non-cohabiting partner, of\nthose who have had sex with a non-marital,\nnon-cohabiting partner in the last 12\nmonths. bc\n\n\n\nPEPFAR\n\n\nPEPFAR\n\n\nPEPFAR\n\n\nPEPFAR\n\n\nUNGASS, MDG, PEPFAR\n\n\n\na prior to the UNGASS indicators in 2002, the UNAIDS stated indicators did not specify youth\n(15 �24 years).\nb the MDG indicator replaces ‘have’ with ‘transmit’.\nc the MDG indicators do not specify ‘non-marital, non-cohabiting’ but add ‘high risk’. PEFPAR\nuses 15 �49 years.\n\n\nwith the surrounding host population response and a sub-regional approach\nundertaken in order to take into account the displacement cycle (UNHCR 2005).\n\nTimely and accurate data are needed to provide targeted and effective\ninterventions in conflict and post-conflict settings. Unfortunately, due to unstable", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001584", "page": 2, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "UNGASS indicators", "probe_tag": "confusion", "probe_score": 0.8980916738510132, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 645, "end": 662, "key": "reliefweb:001584:2:1:0", "source": "camp2", "luna_reason": "Named indicator series cited to explain its 2002 youth-specification change.", "usage_type": "evidential", "specificity": "named"}]}
{"text": "The Costs of Fuelling Humanitarian Aid\n\n\n\nSustainable\nUN and UN\nEnvironment\nManagement\nGroup (EMG)\n\n\nUN High\nCommissioner\nfor Refugees\n(UNHCR)\n\n\nUnited Nations\nChildren’s Fund\n(UNICEF)\n\n\nWorld Food\nProgramme\n(WFP)\n\n\nWorld Vision\n(UK)\n\n\n\nSustainable United Nations (SUN) came into existence as a result of the UN’s\ncommitment to climate neutrality in 2007. It has been working to measure and reduce\nthe environmental footprint of UN facilities and operations. UN entities are attempting\nto measure and report climate and environmental indicators, to undertake efforts to\nholistically reduce environmental impacts, and to achieve climate neutrality by 2020.\nProgress towards this is captured in the Greening the Blue vii platform, which presents\nannual greenhouse gas emissions data reported by all UN agencies.\n\n\nUNHCR published Environmental Guidelines in 1996 that ‘lay a basis for incorporating\nenvironmental factors into specific UNHCR guidelines’. viii\n\n\nUNHCR began implementing a Green Procurement Policy in 2012, which built upon\nearlier efforts in the Environmentally Friendlier Procurement Guidelines (1997). ix This policy\ntries to make sure that social and environmental factors are combined with financial\nconsiderations when UNHCR is making purchases.\n\n\nIn 2015 UNHCR produced the UNHCR, the Environment & Climate Change x report, which\noutlined the challenges that climate change presents for its operations and the measures\ntaken in response.\n\n\nUNICEF’s Strategy on Environmental Sustainability 2016–2017 xi aims to consolidate work\non environmental sustainability across its operating practices. Priorities include improving\nguidance on environmental sustainability and incorporating environmental sustainability\nmanagement into the organization.\n\n\nWFP’s approach to environmental sustainability was first laid out in WFP and the\nEnvironment in 1998. It was one of the first UN agencies to report greenhouse gas\nemissions, in 2008, and it has done so annually since then. It also", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000796", "page": 15, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Greening the Blue", "probe_tag": "confusion", "probe_score": 0.17082053422927856, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 697, "end": 714, "key": "reliefweb:000796:15:0:0", "source": "camp2", "luna_reason": "Named platform presents annual greenhouse-gas emissions data used to capture progress.", "usage_type": "declaration", "specificity": "named"}, {"text": "annual greenhouse gas emissions data", "probe_tag": "confusion", "probe_score": 0.36203160881996155, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 755, "end": 791, "key": "reliefweb:000796:15:0:1", "source": "camp2", "luna_reason": "Platform presents existing annual emissions data reported by UN agencies.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "_Mixed Migration Routes and Dynamics in Libya in 2018, June 2019_ **10**\n\n#### **Methods Note**\n\nThis report is based on a longitudinal analysis of six research cycles on mixed migration routes and dynamics\nconducted in Libya over the course of 2018. These included:\n\n- [Mixed migration routes and dynamics in Libya: The impact of EU migration measures on mixed migration in](http://bit.ly/2GGJvCf)\n[Libya, April 2018;](http://bit.ly/2GGJvCf)\n\n- [Access to cash and the impact of the liquidity crisis on refugees and migrants in Libya, June 2018;](http://bit.ly/2NU4p8H)\n\n- [Refugees’ and migrants’ access to food, shelter and NFIs, WASH and assistance, September 2018;](http://bit.ly/2N1tEmt)\n\n- [Mixed migration routes and dynamics: May – December 2018, December 2018;](http://bit.ly/2SeR2OC)\n\n- [From hand to hand: the migratory experience of refugees and migrants from East Africa across Libya, April](http://bit.ly/2Fn6jJp)\n2019;\n\n- Libyan refugees’ and asylum seekers’ irregular boat migration to Europe in 2018, July 2019.\n\nThe research thematics explored were selected on a rolling basis with emerging information needs identified in\ncollaboration with humanitarian partners over the course of 2018. Topics were selected on the basis of available\nsecondary data and identified information gaps", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000576", "page": 9, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "secondary data", "probe_tag": "confusion", "probe_score": 0.6316907405853271, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1304, "end": 1318, "key": "reliefweb:000576:9:0:0", "source": "camp2", "luna_reason": "Existing secondary data informed selection of research topics.", "usage_type": "declaration", "specificity": "descriptive"}]}
{"text": " Data for 2008-2010 includes repeat applications.\nSpain. Includes applications lodged at Spanish embassies.\nSwitzerland. Figures exclude repeat applications.\nTurkey. Source: UNHCR. \nUnited States.\nStates. Figures include (1) statistics from the US Department of Homeland \nSecurity (DHS), based on the number of cases and multiplied by 1.4 to reflect the \nestimated number of individuals; and (2) the number of new (“defensive”) requests \nlodged with the Department of Justice, Executive Office for Immigration Review \n(EOIR), based on the number of individuals.\nb. Regional classification\nEU-“old” (15). Austria, Belgium, Denmark, Finland, France, Germany, \nGreece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden \nand United Kingdom.\nEU-“new” (12). Bulgaria, Cyprus, Czech Republic, Estonia, Hungary, Latvia, \nLithuania, Malta, Poland, Romania, Slovakia and Slovenia.\nEU-Total (27). EU-“old” and EU-“new”.\nNordic countries (5). Denmark, Finland, Iceland, Norway and Sweden.\nWestern Europe (19). EU-“old” plus Iceland, Norway, Liechtenstein and Switzerland.\nSouthern Europe (8). Albania, Cyprus, Greece, Italy, Malta, Portugal, Spain \nand Turkey.\nFormer Yugoslavia (6). Bosnia and Herzegovina, Croatia, Montenegro, Serbia \n(and Kosovo: S/RES/1244 (1999)), Slovenia, and The former Yugoslav Republic \nof Macedonia.\nTotal Europe (38). All European countries listed.\nSource for national population: United Nations, Population Division, \n“World Population Prospects: The 2010 Revision”, New York, 2011.\nSource for Gross Domestic Product (PPP): International Monetary Fund, \nWorld Economic Outlook Database, October 2012 (accessed 5 March 2013).\nNotes\n21\nAsylum Levels and Trends in Industrialized Countries - 2012 21", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000259", "page": 20, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "World Population Prospects", "probe_tag": "confusion", "probe_score": 0.07918427884578705, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1460, "end": 1486, "key": "reliefweb:000259:20:1:1", "source": "camp2", "luna_reason": "Named UN population dataset cited as the source for national population figures.", "usage_type": "evidential", "specificity": "named"}]}
-{"text": "In Sudan, the number of IDPs**\n**protected or assisted by UNHCR**\n\n\n\n**Libya |**\n**Displacement in**\n**Libya:** Misrata,\nBenghazi and Tobru…\n\n\n\n**20** UNHCR Global Trends 2011 **UNHCR Global Trends 2011** **21**", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001077", "page": 10, "chunk": 3, "split": "holdout_annotate", "spans": [{"text": "UNHCR Global Trends 2011", "probe_tag": "confusion", "probe_score": 0.059231676161289215, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 151, "end": 175, "key": "reliefweb:001077:10:3:0", "source": "camp2", "luna_reason": "Standalone report title with no shown data use or cited finding.", "drop_reason": "ref_list", "specificity": "named"}, {"text": "UNHCR Global Trends 2011", "probe_tag": "confusion", "probe_score": 0.06097047030925751, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 151, "end": 175, "key": "reliefweb:001077:10:3:1", "source": "camp2", "luna_reason": "Standalone report title with no cited finding or demonstrated data use.", "drop_reason": "ref_list", "specificity": "named"}]}
+{"text": "In Sudan, the number of IDPs**\n**protected or assisted by UNHCR**\n\n\n\n**Libya |**\n**Displacement in**\n**Libya:** Misrata,\nBenghazi and Tobru…\n\n\n\n**20** UNHCR Global Trends 2011 **UNHCR Global Trends 2011** **21**", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001077", "page": 10, "chunk": 3, "split": "holdout_annotate", "spans": [{"text": "UNHCR Global Trends 2011", "probe_tag": "confusion", "probe_score": 0.059231676161289215, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 151, "end": 175, "key": "reliefweb:001077:10:3:0", "source": "camp2", "luna_reason": "Standalone report title with no shown data use or cited finding.", "drop_reason": "ref_list", "specificity": "named"}]}
{"text": "
1,794
11,202
756
-
4
4,768
15,095
80
85
1,079
188
46
1,993
-
4,820
3,140
1
1,177
2,737
298
42,426
10,552
455,863|\n\n\n\n**52** UNHCR Global Trends 2014", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000809", "page": 51, "chunk": 4, "split": "holdout_annotate", "spans": [{"text": "UNHCR Global Trends 2014", "probe_tag": "confusion", "probe_score": 0.17165270447731018, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 194, "end": 218, "key": "reliefweb:000809:51:4:0", "source": "camp2", "luna_reason": "Named report cited alongside table data as the underlying evidence source.", "usage_type": "evidential", "specificity": "named"}]}
{"text": "The same study stated that in Saida, the main source of drinking water (95%) and water for domestic use\n(98%) is city water. However, 91% reported obstacles to safe water collection due to the high dependence on\ncity water and the unreliability of the system (regular shutdowns). (World Vision, January 2013)\n\n_Mount Lebanon and Beirut_\n\nAccording to one survey covering Chouf, Aley, and Baabda, 59% of registered Syrian refugee respondents\nreport no access to public water, or a supply of less than three times per week. The same report stated that\nUNHCR reports that 75% have access to water from a well or from the public water system. However, nearly\n90% of all survey respondents purchase water.(Global Communities, November 2013)\n\nAnother assessment of registered Syrian refugees specified that in Chouf, among the 240 households\ninterviewed, 38% are not satisfied with the quantity of water received. In this assessment, however, only 37%\nof the interviewed households stated that they have to buy water from trucks or purchase bottled water, mainly\nbecause they do not receive enough water through the public water systems (local boreholes and Barouk\nspring sources), adding an important burden on families with very limited cash resources. Those buying water\nfrom trucks spend an average of LBP 60,000 per month. Families staying in rented houses have to pay a\nyearly fee of LBP 235,000 (approx. LBP 90,000 per month) to be connected to the public water network.\nAround 69% of the interviewed families live in a rented house in the assessed areas. (CARE InternationalDPNA-ACA, October 2013)\n\nThe same assessment found that a full quarter (25%) of the families living in the collective centres and/or\ninformal settlements face a storage problem. Families staying in rented houses can be considered to have a\nsufficient storage capacity (they use mainly 1000-2000 liter PVC", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000826", "page": 19, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "assessment of registered Syrian refugees", "probe_tag": "confusion", "probe_score": 0.8984541893005371, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 745, "end": 785, "key": "reliefweb:000826:19:0:0", "source": "camp2", "luna_reason": "Assessment reports concrete household water-access and expenditure findings.", "usage_type": "evidential", "specificity": "descriptive"}]}
{"text": "Chapter 6\n\n\nFigure 22 | **Number of reported stateless people by region** | end-2024\n\n\nAsia and the Pacific\n\n\nWest and\nCentral Africa\n\n\nEurope\n\n\nMiddle East and\n\nNorth Africa\n\n\n\nEast and Horn of Africa,\n\nand Great Lakes\n\n\nSouthern Africa\n\n\nAmericas\n\n\n\n0 500K 1.0M 1.5M 2.0M 2.5M\n\nNumber of people\n\n\n\nBased on the available age- and sex-disaggregated\ndemographic data for 76 per cent of the 4.4 million\nstateless people, **188** children account for 44 per cent\nof stateless people, women for 30 per cent and men\nfor 26 per cent.\n\n\n**Where does data on stateless**\n**people come from?**\n\n\nThe above figures were derived from data for 101\ncountries on known stateless populations reported to\nUNHCR in 2024, six more than the previous year. **189**\nJust under half of all countries do not report any data\non statelessness to UNHCR, including several with\nsignificant known stateless populations. In addition,\nsome countries provide data for only a portion of the\nstateless population within their borders. As a result,\nthe true global number of stateless people is likely\nmuch higher.\n\n\nFor those countries that have reported stateless\npopulations, in some cases, governments report\n\n\n\nfigures to UNHCR based on administrative population\nregisters, while asylum processing systems may\nidentify stateless individuals among asylum-seekers\nand refugees hosted in the country. However, in many\ncountries, administrative data on statelessness is\nunavailable and information must instead be drawn\nfrom population censuses, surveys or estimates,\nprovided by governments or UNHCR and its partners.\n\n\nIt is crucial that, when using quantitative and\nqualitative studies to estimate stateless populations,\nefforts are made to distinguish between those\nunder UNHCR’s statelessness mandate and\nindividuals who lack valid nationality documentation\nbut do not face structural barriers—such as\ndiscriminatory nationality laws or practices—to\nacquiring citizenship or", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001242", "page": 57, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "age- and sex-disaggregated\ndemographic data", "probe_tag": "confusion", "probe_score": 0.8723569512367249, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 323, "end": 366, "key": "reliefweb:001242:57:0:0", "source": "camp2", "luna_reason": "Existing demographic data supports reported sex and age composition findings.", "usage_type": "evidential", "specificity": "descriptive"}, {"text": "population censuses", "probe_tag": "confusion", "probe_score": 0.8765611052513123, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1515, "end": 1534, "key": "reliefweb:001242:57:0:3", "source": "camp2", "luna_reason": "Censuses are identified as sources for estimating stateless populations.", "usage_type": "declaration", "specificity": "vague"}]}
{"text": " citizen of Ukraine\nduring the month therefrom. If a person did not\ninsert the photo within the period specified by\nlaw, the passport is considered invalid. 7,8 In such a\ncase, as well as in the case of damage or loss the\npassport of a citizen of Ukraine of the sample of\n1994, issued before 2014 in the territory which\nis currently non-government controlled, for the\npurpose of further documentation of a person,\nthe territorial unit of the SMS must identify them\nand confirm his/her belonging to the citizenship\nof Ukraine.\n\n\n**IDENTIFICATION OF THE PERSON**\n\n\nUsually the person is identified on the basis of\ninformation obtained from the database of the\nUnified State Demographic Register (USDR) and\nother state and unified registers, information\ndatabases. 9 However, these registries may not\nhave information about all the persons. 10 Prior to\n\n\n\n7. Paragraph 8 of the Regulation on the Passport of a Citizen of Ukraine. Available at the link: https://zakon.rada.gov.ua/laws/show/2503-12\n8. According to the explanations posted on the official website of the State Migration Service, the person cannot be identified using the passport of a citizen of Ukraine\nof 1994 sample (booklet), since this document is “morally outdated” and also the one that can be easily forged. In particular, according to the SMS explanations, when\na person applies for documentation, starting from 2013, the data of the passport is verified with the data of the SMS unit which issued the passport. In fact, for persons\nfrom the territory temporarily not under control of the Government of Ukraine this means that even with a valid passport of a citizen of Ukraine, an individual may be\nforced to undergo the procedure for establishment the person and verification of", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001442", "page": 6, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "data of the SMS unit", "probe_tag": "confusion", "probe_score": 0.06727665662765503, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 1480, "end": 1500, "key": "reliefweb:001442:6:1:1", "source": "camp2", "luna_reason": "Existing SMS administrative data are used to verify passport information.", "usage_type": "declaration", "specificity": "descriptive"}]}
{"text": "10 de 11 de 2019). Requisitos para residencia de inversionista.\n\nObtenido de Dirección General de Migración: www.migracion.gob.do/Menu/SubList/44\n\n\nX **X** Oficina Nacional de Estadística- ONE (2017) Segunda Encuesta Nacional De Inmigrantes –ENI-2017–\n\nRepública Dominicana\n\n\nX **X** Oficina Nacional de Estadística- ONE (2019) Panorama Estadístico Migración Laobral hacia República\n\nDominicana: evolución ocupacional del origen al destino\n\n\nX **X** Organización Internacional del Trabajo (2019). Formalización de trabajadores independientes en\n\nParaguay.\n\n\nX **X** Organización Internacional del Trabajo (2018) Cabrera Donna. Estudio sobre un marco comparativo\n\nde experiencias y casos de buenas prácticas regionales y extra regionales sobre el vínculo entre\nnecesidades del mercado laboral y política migratoria.\n\n\nX **X** Organización Internacional del Trabajo. (2011). Desarrollo de Cadenas de Valor para trabajo decente.\n\nGinebra, Suiza: Organización Internacional del Trabajo. Recuperado el 2019", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001066", "page": 80, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "ENI-2017", "probe_tag": "confusion", "probe_score": 0.28485316038131714, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 249, "end": 257, "key": "reliefweb:001066:80:1:1", "source": "camp2", "luna_reason": "Bibliographic entry naming a survey without showing data use.", "drop_reason": "ref_list", "specificity": "named"}]}
-{"text": " transparency – maximizing the availability of
disaggregated data – confdentiality, and privacy to ensure personal data is not
abused, misused, or putting anyone at risk of identifcation or discrimination,
in accordance with national laws and the Fundamental Principles of Ofcial
Statistics.|\n|5|Human and technical capacity
to collect, analyse, and use
disaggregated data must be
improved, including through
adequate and sustainable
fnancing|We recognize that collecting and analysing disaggregated data requires
the development of specifc skills. We recognize the need to fnance data
collection, analysis, and use appropriately and sustainably so that high-quality
data can be collected and used by governments as well as by businesses, civil
society, and citizens.|\n\n\n\n_Source:_ Global Partnership for Sustainable Development Data, 2022\n\n\nOne clear pathway for increasing the availability of data\non refugees is intentionally including them in existing\nDCEs rather than conducting additional ad hoc DCEs\nor having them included in an unrepresentative way in\nlarger DCEs covering their area of residence. Historically,\nthe use of proxies in capturing refugee status has been\ncommon practice in research on refugees. Assessing\nthe research landscape on economic integration,\nDonato and Ferris (2020, p. 24) state that ‘most studies\ndifferentiate refugees from other immigrants without\nobserving refugee status directly. Instead, they use\nnational origin to approximate refugee status or create\nsynthetic cohorts’. Similar methods have been used\nwith OECD’s Programme for International Student\nAssessment (PISA) data to distinguish between the\nperformance of ‘natives’ and ‘migrants’ (Behr and\nFugger, 2020), and nationality is also used in many\nEMIS as a proxy for refugee status (UNESCO, 2023;\nUIS and UNHCR,", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000382", "page": 17, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "disaggregated data", "probe_tag": "drop", "probe_score": 0.022404396906495094, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 50, "end": 68, "key": "reliefweb:000382:17:1:0", "source": "camp2", "luna_reason": "Generic data availability principle, without cited use, finding, or analysis.", "drop_reason": "availability", "specificity": "vague"}, {"text": "disaggregated data", "probe_tag": "drop", "probe_score": 0.02209661528468132, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 50, "end": 68, "key": "reliefweb:000382:17:1:1", "source": "camp2", "luna_reason": "Generic data availability principle, with no cited finding or analytical use.", "drop_reason": "availability", "specificity": "vague"}]}
+{"text": " transparency – maximizing the availability of
disaggregated data – confdentiality, and privacy to ensure personal data is not
abused, misused, or putting anyone at risk of identifcation or discrimination,
in accordance with national laws and the Fundamental Principles of Ofcial
Statistics.|\n|5|Human and technical capacity
to collect, analyse, and use
disaggregated data must be
improved, including through
adequate and sustainable
fnancing|We recognize that collecting and analysing disaggregated data requires
the development of specifc skills. We recognize the need to fnance data
collection, analysis, and use appropriately and sustainably so that high-quality
data can be collected and used by governments as well as by businesses, civil
society, and citizens.|\n\n\n\n_Source:_ Global Partnership for Sustainable Development Data, 2022\n\n\nOne clear pathway for increasing the availability of data\non refugees is intentionally including them in existing\nDCEs rather than conducting additional ad hoc DCEs\nor having them included in an unrepresentative way in\nlarger DCEs covering their area of residence. Historically,\nthe use of proxies in capturing refugee status has been\ncommon practice in research on refugees. Assessing\nthe research landscape on economic integration,\nDonato and Ferris (2020, p. 24) state that ‘most studies\ndifferentiate refugees from other immigrants without\nobserving refugee status directly. Instead, they use\nnational origin to approximate refugee status or create\nsynthetic cohorts’. Similar methods have been used\nwith OECD’s Programme for International Student\nAssessment (PISA) data to distinguish between the\nperformance of ‘natives’ and ‘migrants’ (Behr and\nFugger, 2020), and nationality is also used in many\nEMIS as a proxy for refugee status (UNESCO, 2023;\nUIS and UNHCR,", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000382", "page": 17, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "disaggregated data", "probe_tag": "drop", "probe_score": 0.022404396906495094, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 50, "end": 68, "key": "reliefweb:000382:17:1:0", "source": "camp2", "luna_reason": "Generic data availability principle, without cited use, finding, or analysis.", "drop_reason": "availability", "specificity": "vague"}]}
{"text": " hecha las personas refugiadas y solicitantes\nde asilo en Ciudad de Panamá destacaron un alto nivel de\ndiscriminación que se manifiesta en diferentes contextos\ncomo las escuelas, los centros de salud y los centros de policía,\nentre otros.\n\n\nEn general, los prejuicios relacionados con la nacionalidad\ncolombiana hacen que muchos refugiados sufran una doble\nestigmatización no solo por ser refugiados sino también por ser\ncolombianos y ser tildados como narcotraficantes, guerrilleros,\n\n\n\n20 Diagnóstico Participativo 2014-2015 Diagnóstico Participativo 2014-2015 21", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000280", "page": 9, "chunk": 5, "split": "holdout_annotate", "spans": [{"text": "Diagnóstico Participativo 2014-2015", "probe_tag": "drop", "probe_score": 0.049075983464717865, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 491, "end": 526, "key": "reliefweb:000280:9:5:1", "source": "camp2", "luna_reason": "Repeated page header, not a cited or analyzed data resource.", "drop_reason": "table_artifact", "specificity": "named"}]}
{"text": "Photo Credit: © UNHCR\nMAIN OUTCOMES OF CASH \nASSISTANCE IN 2021 \nFindings from Post Distribution Monitoring", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001217", "page": 0, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Post Distribution Monitoring", "probe_tag": "drop", "probe_score": 0.04615411162376404, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 79, "end": 107, "key": "reliefweb:001217:0:0:0", "source": "camp2", "luna_reason": "Generic monitoring label lacks a concrete attributed finding or demonstrated data use.", "drop_reason": "bare_stat", "specificity": "vague"}]}
{"text": "\nThe assessment used both quantitative and qualitative methods. The quantitative method used a\nrepresentative sample survey of households, schools and students. The qualitative method used Focus\nGroup Discussions (FGD) and Key Informant Interviews (KII). The assessment used random and\npurposive sampling. Random sampling was used in the survey to select households and students.\nPurposive sampling was used for selection of schools, and for the qualitative methods of the\nassessment. Sampling was done at three levels: camp, community/household and school. A total of\n1058 individuals; 548 females and 410 males, participated in the assessment, representing 451\nhouseholds, 476 students from 18 schools. The field work was carried out between 20th November\nand 8 December 2017.\n\n\nCollection and analysis of data was done based on the five domains and thematic Areas, as presented\nin the INEE Minimum Standards.\n\n##### 2.3 Limitations\n\nThe assessment took place during the end of the school term (November/December) which coincides\nwith end of term exams and the rainy season, which restricts mobility in the region. These factors\ncontributed to delays in survey data collection and the FGDs with teachers and students. As such, the\n\n\n2 The JENA had a 3rd objective “to inform the roll out of the CRRF” which was removed following the GOT\nwithdrawal from CRRF in January 2018.\n\n\n6", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000901", "page": 6, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "representative sample survey", "probe_tag": "drop", "probe_score": 0.02140813134610653, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 95, "end": 123, "key": "reliefweb:000901:6:1:0", "source": "camp2", "luna_reason": "Survey provided quantitative assessment evidence and participant findings.", "usage_type": "evidential", "specificity": "descriptive"}, {"text": "survey data", "probe_tag": "confusion", "probe_score": 0.11049731820821762, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1156, "end": 1167, "key": "reliefweb:000901:6:1:1", "source": "camp2", "luna_reason": "Span describes data collection activity, not use of existing data.", "drop_reason": "production", "specificity": "vague"}]}
@@ -189,7 +189,7 @@
{"text": "Venezolanos en Chile, Colombia, Ecuador y Perú\n\n - una oportunidad para el desarrollo\n\n\n\n8\n\n\n**ACNUR** Alto Comisionado de las Naciones Unidas para los Refugiados\n\n\n**ALC** América Latina y el Caribe\n\n\n**CPP** Carnet de Permiso Temporal de Permanencia\n\n\n**DTM** Matriz de Seguimiento del Desplazamiento\n\n\n**ENAHO** Encuesta Nacional de Hogares\n\n\n**ENPOVE** Encuesta Dirigida a la Población Venezolana que reside en el País\n\n\n**EPEC** Encuesta a Personas en Movilidad Humana y en Comunidades Receptoras en Ecuador\n\n\n**EPTV** Estatuto Temporal de Protección para Venezolanos\n\n\n**FAO** Organización de las Naciones Unidas para la Alimentación y la Agricultura\n\n\n**FMI** Fondo Monetario Internacional\n\n\n**GEIH** Gran Encuesta Integrada de Hogares\n\n\n**HFPS** Encuestas Telefónicas de Alta Frecuencia\n\n\n**INEI** Instituto Nacional de Estadística e Informática\n\n\n**IPE** Identificador Provisorio Escolar\n\n\n**OIM** Organización Internacional para las Migraciones\n\n\n**OIT** Organización Internacional del Trabajo\n\n\n**ONU** Organización de Naciones Unidas\n\n\n**PNUD** Programa de las Naciones Unidas para el Desarrollo\n\n\n**PEP** Permiso Especial de Permanencia\n\n\n**PIB** Producto Interno Bruto\n\n\n**PPT** Permiso por Protección Temporal\n\n\n**R4V** Plataforma de Coordinación Interagencial para Refugiados y Migrantes de", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001322", "page": 7, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Encuesta Nacional de Hogares", "probe_tag": "confusion", "probe_score": 0.15128770470619202, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 320, "end": 348, "key": "reliefweb:001322:7:0:0", "source": "camp2", "luna_reason": "Survey is defined in a glossary without evidence of data use.", "drop_reason": "bare_stat", "specificity": "descriptive"}, {"text": "Encuestas Telefónicas de Alta Frecuencia", "probe_tag": "drop", "probe_score": 0.04633236676454544, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 759, "end": 799, "key": "reliefweb:001322:7:0:3", "source": "camp2", "luna_reason": "Survey term is defined in a glossary without evidence of data use.", "drop_reason": "bare_stat", "specificity": "descriptive"}]}
{"text": "Refugee women founded the Heriyetu Foundation at Nakivale settlement in Uganda – a group that has launched a wine-making business, pharmacy and savings and\nloans programme. © UNHCR/Esther Ruth Mbabazi\n\n\n~~X~~ **~~Inclusive Programming~~**\n\n\n\n\n\n\n\n**3** Core Action 1 of the AGD Policy is applicable to UNHCR primary data collection activities. It applies only to operational data, defined as data and information that\npertains to a crisis/situation, the persons affected by the crisis/situation, and the response to the crisis/situation.\n\n\n14", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000271", "page": 12, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "operational data", "probe_tag": "drop", "probe_score": 0.02806559018790722, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 362, "end": 378, "key": "reliefweb:000271:12:0:0", "source": "camp2", "luna_reason": "Defines a generic data category without showing existing data use.", "drop_reason": "system_registry", "specificity": "vague"}]}
{"text": " protect participant anonymity.\n\n\nIn Zone 3, the closest village to the cluster was Jomorogo Village. Focus group discussions were\nheld in Mengo Primary School with the host community, and the Methodist church inside Zone\n3, village 3 with the refugee community. In Zone 5, the closest village to the selected cluster was\nOkubani village.\n\n#### 4. Kampala workshop\n\nOn 6 September 2019, a workshop was held by the JEU and NRC at the Silver Springs Hotel in\nKampala to present the NEAT+ and preliminary findings from the Bidibidi field test, and to\nengage participants in broader discussions about different aspects of screening and assessing\nenvironmental risk in humanitarian settings. Twenty-five representatives from the government,\ncivil society organizations and UN agencies attended the half-day workshop (see participant list\nin Annex B). The aim of the workshop was to promote the use of the NEAT+ and to have a broader\ndiscussion on screening for environmental risk and the use of environmental data in\nhumanitarian action. These discussions have informed the recommendations for NRC,\nparticularly the section on advocacy and support to Government. 13\n\n\n11 Note: FGDs are not necessary for the completion of the NEAT+.\n12 To request access to the MapX “NEAT+ Uganda” data project as a member, contact\n[theresa.dearden@un.org](mailto:theresa.dearden@un.org)\n13 See “Recommendations” section.", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001154", "page": 11, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "environmental data", "probe_tag": "drop", "probe_score": 0.011702987365424633, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 990, "end": 1008, "key": "reliefweb:001154:11:1:0", "source": "camp2", "luna_reason": "Generic data is discussed conceptually without citing or analyzing an actual dataset.", "drop_reason": "system_registry", "specificity": "vague"}]}
-{"text": "article databases. Whilst both data sources could be used for the early detection of existing events,\ndata from news article databases could additionally be used to try to build prediction models for future\nevents.\n\n#### **Nexus between events and forced displacement**\n\n\nThe question of the characteristics of and circumstances under which events lead to sizable forced\ndisplacement is closely interconnected with the previous and the following research question. Identifying the relevant factors through a classification model allows (i) a more targeted search for, and\npotentially prediction of, relevant events, and (ii) more targeted modeling of prediction models for the\nmagnitude, demographic, and direction of forced displacement. According to the system of forced\ndisplacement, as outlined in Figure 2, both factors at the macro-level, meso-level, and micro-level 5\n\nplay in at this stage.\n\n\nEvent characteristics can be derived from either traditional data sources, e.g., ACLED, or from data\nsources described in the previous section. Likewise, data from variables at the meso- and microlevel can, to a large extent, be derived from traditional data sources. However, Big (Crisis) Data can\nsupplement with valuable and timely information at this stage, that otherwise wouldn’t be accessible.\nData sources that track and reflect the decision to migrate, as well as the planning process before\nmigration, can add further information to traditional data sources. E.g., data from internet searches\nor social media sites that inquire about flight routes or host countries or sentiment analyses on social\nmedia that reflect how threatened individuals feel by the event. 6\n\n\n**Relevant sources of Big (Crisis) Data**\n\n\n**Internet searches** Google Trends tracks its user’s search queries and IP-addresses and calculates\naggregated trends for searched keywords based on the location information of the IP-address. These\ntrend", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001630", "page": 17, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Big (Crisis) Data", "probe_tag": "confusion", "probe_score": 0.1363721638917923, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1189, "end": 1206, "key": "reliefweb:001630:17:0:2", "source": "camp2", "luna_reason": "Generic data resource is described as potentially useful, without demonstrated data use or finding.", "drop_reason": "system_registry", "specificity": "vague"}, {"text": "Big (Crisis) Data", "probe_tag": "drop", "probe_score": 0.022481774911284447, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1189, "end": 1206, "key": "reliefweb:001630:17:0:4", "source": "camp2", "luna_reason": "Conceptual data category described as potentially useful, without actual data use or finding", "drop_reason": "system_registry", "specificity": "descriptive"}]}
+{"text": "article databases. Whilst both data sources could be used for the early detection of existing events,\ndata from news article databases could additionally be used to try to build prediction models for future\nevents.\n\n#### **Nexus between events and forced displacement**\n\n\nThe question of the characteristics of and circumstances under which events lead to sizable forced\ndisplacement is closely interconnected with the previous and the following research question. Identifying the relevant factors through a classification model allows (i) a more targeted search for, and\npotentially prediction of, relevant events, and (ii) more targeted modeling of prediction models for the\nmagnitude, demographic, and direction of forced displacement. According to the system of forced\ndisplacement, as outlined in Figure 2, both factors at the macro-level, meso-level, and micro-level 5\n\nplay in at this stage.\n\n\nEvent characteristics can be derived from either traditional data sources, e.g., ACLED, or from data\nsources described in the previous section. Likewise, data from variables at the meso- and microlevel can, to a large extent, be derived from traditional data sources. However, Big (Crisis) Data can\nsupplement with valuable and timely information at this stage, that otherwise wouldn’t be accessible.\nData sources that track and reflect the decision to migrate, as well as the planning process before\nmigration, can add further information to traditional data sources. E.g., data from internet searches\nor social media sites that inquire about flight routes or host countries or sentiment analyses on social\nmedia that reflect how threatened individuals feel by the event. 6\n\n\n**Relevant sources of Big (Crisis) Data**\n\n\n**Internet searches** Google Trends tracks its user’s search queries and IP-addresses and calculates\naggregated trends for searched keywords based on the location information of the IP-address. These\ntrend", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001630", "page": 17, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Big (Crisis) Data", "probe_tag": "confusion", "probe_score": 0.1363721638917923, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1189, "end": 1206, "key": "reliefweb:001630:17:0:2", "source": "camp2", "luna_reason": "Generic data resource is described as potentially useful, without demonstrated data use or finding.", "drop_reason": "system_registry", "specificity": "vague"}]}
{"text": " National
Education’s capacity at all levels in crisis-
sensitive data collection, and analysis and
dissemination|-|-|\n|Output 3.2
Capacity of education sector
actors and institutions are
strengthened the utilization of
data collection|3.2.2 Conduct sector-wide assessment of
barriers to education that includes gender-
sensitive analysis and age-disaggregation of
data/vulnerability and protection sensitive
data|-|-|\n|Output 3.2
Capacity of education sector
actors and institutions are
strengthened the utilization of
data collection|3.2.3 Support Ministry of National
Education’s capacity to strengthen
assessment, monitoring and evaluation
system to track learning, attendance and
early school leaving data|-|-|\n\n\n|Col1|3.2.3 Support Ministry of National Education’s capacity to strengthen assessment, monitoring and evaluation system to track learning, attendance and early school leaving data|-|-|\n|---|---|---|---|\n|Output 3.3
Capacity of education sector
actors and institutions are
strengthened through the
utilization of data to support
evidence-based policy making|3.3.1 Build the capacity of education
personnel and partners in evidence- based
policy development and planning|-|-|\n|Output 3.3
Capacity of education sector
actors and institutions are
strengthened through the
utilization of data to support
evidence-based policy making|3.3.2", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:000157", "page": 40, "chunk": 1, "split": "holdout_annotate", "spans": [{"text": "early school leaving data", "probe_tag": "drop", "probe_score": 0.01865328475832939, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 742, "end": 767, "key": "reliefweb:000157:40:1:1", "source": "camp2", "luna_reason": "Planned monitoring system will track future school-leaving data.", "drop_reason": "promissory", "specificity": "vague"}]}
{"text": "**3.3.2 Vulnerability and Health in Zaatari Camp**\n\n\nIn Zaatari camp the health partners and UNHCR have used the Specific Needs Codes (group approach\nto determining vulnerability). There are two factors to consider in terms of vulnerability analysis and\nHealth in the camp:\n\n\n - The need to identify individuals with specific needs\n\n - The multi-dimensional nature of vulnerability associated with health (e.g. the interaction\nwith other sectors such as WASH and protection)\n\n\nCurrently targeting of assistance is predominantly based on the ability of individuals/families being\nable to access services. This suggests that in fact UNHCR and partners don’t know if they are reaching\nthe most vulnerable individuals/families in the camp.\n\n\nGroup vulnerability, is one dimensional and does not say why a person is vulnerable, e.g. one\ndisabled person is not necessarily as vulnerable as another vulnerable person who doesn’t have\nfamily support.\n\n\nThere is also no recognition currently that a family may have more than one member with specific\nneeds making that family more vulnerable than another family who only has one member with\nspecific needs.\n\n\nMedical forms in use by partners 10 [^10: Note IOM does assess vulnerability at the reception centre. This is done in order to prioritize referral of\nindividuals to services.] do not collect any socio-economic data that can enable\nvulnerability analysis. In addition service locations are not necessarily the best location to collect\nsuch data since it is safe to assume that those accessing services are less vulnerable than others that\nare unable to access services. This suggests that a household level data collection process is required\nin order to understand vulnerability in the camp.\n\n\nThere are two potential approaches to collecting household/individual level vuInerability data. It may\nbe possible to collect data during the planned re-verification exercise for the camp. This data could\nthen be recorded directly into RAIS. This would form a god baseline. Monitoring could then be held\non a quarterly basis by the IRD Community Health Volunteers. Should it", "corpus": "fcv", "origin": "reliefweb", "corpus_id": "reliefweb:001568", "page": 6, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "socio-economic data", "probe_tag": "drop", "probe_score": 0.035106051713228226, "luna_label": 0, "human_verdict": null, "human_note": "", "start": 1358, "end": 1377, "key": "reliefweb:001568:6:0:0", "source": "camp2", "luna_reason": "States data are not collected, without using existing data or substitute estimates.", "drop_reason": "availability", "specificity": "descriptive"}]}
{"text": "**Table 1. Summary statistics of bank conditions, credit performance, and portfolio allocations for the U.S. banking industry**\n**and U.S. G-SIBs over 2019:Q4 to 2020:Q4.**\n\nAll variables shown are ratios to Gross Total Assets (GTA), expressed in percent, where GTA equals total assets plus the allowance for\nloan and lease losses and the allocated transfer risk reserve (a reserve for certain foreign loans). All Banks refers to data on all banks\ncompleting a U.S. Call Report during the quarter, and G-SIBs refers to Call Report data on the largest or only commercial bank in each\n[bank holding company (BHC) in the eight U.S. Globally Systemically Important Banks (G-SIBs) designated by the Financial Stability](https://en.wikipedia.org/wiki/Financial_Stability_Board)\n[Board (Citigroup, JP Morgan Chase, Bank of America, Bank of New York Mellon, Goldman Sachs, Morgan Stanley, State Street, and](https://en.wikipedia.org/wiki/Financial_Stability_Board)\nWells Fargo).\n\n\n**_Panel A -_** **2019: Q4** **All Banks** **G-SIBs**\n\n**N** **Mean** **SD** **P10** **P25** **P50** **P75** **P90** **N** **Mean** **SD** **Min** **P50** **Max**\n\n**", "corpus": "prwp", "origin": "general_prwp", "corpus_id": "prwp:000098", "page": 81, "chunk": 0, "split": "holdout_annotate", "spans": [{"text": "Call Report data", "probe_tag": "confusion", "probe_score": 0.40264734625816345, "luna_label": 1, "human_verdict": null, "human_note": "", "start": 519, "end": 535, "key": "prwp:000098:81:0:1", "source": "camp2", "luna_reason": "Call Report data underpin the table’s reported banking statistics.", "usage_type": "evidential", "specificity": "named"}]}