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Source-1
Copyright 2026 The Source-1 Authors
Licensed under the Apache License, Version 2.0 (see the LICENSE file, or
https://www.apache.org/licenses/LICENSE-2.0). The Source-1 Authors are listed in
the AUTHORS file.
This NOTICE has four parts and one appendix:
1. Base model: mmBERT-base (MIT License)
2. How the training scores were made
3. Data credits
4. Contact and removal requests
Appendix A. World Bank works (CC BY 3.0 IGO)
================================================================================
1. BASE MODEL: mmBERT-base (MIT License)
================================================================================
Source-1 is fine-tuned from mmBERT-base (https://huggingface.co/jhu-clsp/mmBERT-base),
published by jhu-clsp (the mmBERT authors at Johns Hopkins University CLSP) under the
MIT License. mmBERT is described in Marone et al., "mmBERT: A Modern Multilingual
Encoder with Annealed Language Learning", arXiv:2509.06888. The upstream repository
publishes no copyright line, so none is reproduced here.
Changes made by the Source-1 Authors (2026-10-03): all encoder weights were further
trained, and scoring heads (heads.safetensors) were added. The encoder weights are
published in bfloat16 (model.safetensors, the default) and in float32
(model.fp32.safetensors). The tokenizer is mmBERT's.
mmBERT's tokenizer is based on the Gemma 2 tokenizer by Google. See the Gemma Terms of
Use: https://ai.google.dev/gemma/terms
MIT License (mmBERT-base):
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================================================
2. HOW THE TRAINING SCORES WERE MADE
================================================================================
Source-1 was fine-tuned on scores produced by an open-weight 27B LLM teacher scoring a
13-field rubric (3 labels, 5 quality scores, 3 red flags and 2 gated scores). Every
training target is a teacher score; no human labels were used. The teacher's weights
are not part of this release.
Source-1 was evaluated with an independent proprietary LLM grader, used for evaluation
only: the grader's outputs were never used as training targets or training data, and
the shipped drop line was chosen by a fixed rule on the teacher's labels. On the
held-out set the grader was given the same instructions as the teacher. Grades and
reviews by proprietary LLMs, among them the grader's model family, did inform some
design choices (the rubric revision, the choice of teacher and its prompt on the exam
sets, the candidate drop lines and which collections were filtered out); see the
development note in README.md and "Independence from development" in EVALUATION.md.
================================================================================
3. DATA CREDITS
================================================================================
This part covers the documents in Source-1's training and validation splits: 159,829
documents (182,639 text chunks). The documents were inputs to be scored; their scores
came from the teacher described in part 2. No training text is distributed with
Source-1: the release contains model weights and code only.
The credits below follow what each license or publisher asks for. Every work listed
under a Creative Commons license was modified: it was used to train a classifier.
Credit for each individual work belongs to the authors and publishers named in it.
Naming a source does not suggest that its authors, publishers or licensors endorse
Source-1 or any use of it.
Each book is credited under the licence recorded for it by the platform it came from,
except three works whose own text states an IGO licence (see 3.8). Before training,
rules applied to each source's terms and to each document's own text kept 19,720
documents out of the training and validation splits. Source-1 was not trained on them,
and they are not credited here. They include: sources whose terms limit use to research
or that carry no dataset licence (DCLM-baseline, raw Common Crawl WET pages); Stack v2
Edu, whose upstream terms are gated; YouTube transcripts and a corpus of third-party
social media posts; French public data under the Licence Ouverte; books and other
documents whose own text states NonCommercial (NC) or NoDerivatives (ND) terms,
reserves all rights or forbids reproduction without permission, or reserves
text-and-data-mining or AI-training rights; books deposited in HAL whose own text
states no open licence; web pages under NC or ND terms, and pages on sites that re-host
other people's documents; and code whose licence or file header is copyleft,
proprietary or not on a permissive allow-list.
Every book in the open-books part of the training data that is not public domain or
CC0 is also credited individually in the file CREDITS_BOOKS.tsv, which is part of this
notice: title, authors, language, licence and source URL. Where a work's own text asks
to be cited or attributed in a particular way, the file gives that citation or
attribution: FAO's "Required citation", OpenStax's attribution request, the citations
requested by Eurydice, JRC and other EU reports, and those of some other books and
reports (university presses, Frontiers ebooks, research and project reports). The World
Bank works are credited in Appendix A. Books and book chapters that came through
Common Pile v0.1 (DOAB, Pressbooks, LibreTexts, OER Commons) are credited at collection
level in 3.5.
License links used below:
ODC-By 1.0 https://opendatacommons.org/licenses/by/1-0/
CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
CC BY 3.0 https://creativecommons.org/licenses/by/3.0/
CC BY 2.5 https://creativecommons.org/licenses/by/2.5/
CC BY 2.0 https://creativecommons.org/licenses/by/2.0/
CC BY 3.0 IGO https://creativecommons.org/licenses/by/3.0/igo/
CC BY-SA 3.0 IGO https://creativecommons.org/licenses/by-sa/3.0/igo/
CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/
CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/
CC BY-SA 2.5 https://creativecommons.org/licenses/by-sa/2.5/
CC0 1.0 https://creativecommons.org/publicdomain/zero/1.0/
Apache-2.0 https://www.apache.org/licenses/LICENSE-2.0
MIT https://opensource.org/license/mit
OPL v3.0 https://www.parliament.uk/site-information/copyright-parliament/open-parliament-licence/
Common Crawl Terms of Use
https://commoncrawl.org/terms-of-use
3.1 Open Data Commons Attribution License (ODC-By 1.0)
--------------------------------------------------------------------------------
Contains information from the following databases, which are made available under the
ODC Attribution License (https://opendatacommons.org/licenses/by/1-0/):
- FineWeb https://huggingface.co/datasets/HuggingFaceFW/fineweb
- FineWeb-2 (including its removed-documents part)
https://huggingface.co/datasets/HuggingFaceFW/fineweb-2
- FinePDFs https://huggingface.co/datasets/HuggingFaceFW/finepdfs
- FineWeb-Edu Llama 3 annotations
https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-llama3-annotations
- FineTranslations https://huggingface.co/datasets/HuggingFaceFW/finetranslations
- FineMath https://huggingface.co/datasets/HuggingFaceTB/finemath
- Cosmopedia v2 (SmolLM-Corpus)
https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus
- C4 (en.noclean) https://huggingface.co/datasets/allenai/c4
- OpenWebMath https://huggingface.co/datasets/open-web-math/open-web-math
- WildChat-1M https://huggingface.co/datasets/allenai/WildChat-1M
3.2 Common Crawl
--------------------------------------------------------------------------------
Much of the web text comes from Common Crawl (https://commoncrawl.org): through
FineWeb, FineWeb-2, FinePDFs, FineMath, OpenWebMath, C4 and FineTranslations. Use was
subject to the Common Crawl Terms of Use (https://commoncrawl.org/terms-of-use).
The text of each page belongs to its owners.
3.3 Creative Commons Attribution (CC BY)
--------------------------------------------------------------------------------
Modified: used to train a classifier.
- EUR-Lex resources, CC BY 4.0 (see also 3.7).
https://huggingface.co/datasets/joelniklaus/eurlex_resources
- Sangraha, synthetic part (AI4Bharat), CC BY 4.0. Machine translations of English
Wikipedia text (Wikipedia contributors, CC BY-SA).
https://huggingface.co/datasets/ai4bharat/sangraha
- PubMed Central Open Access Subset (U.S. National Library of Medicine), articles under
CC BY, credited to the authors named in each article. https://pmc.ncbi.nlm.nih.gov
- Wikinews (Wikinews contributors), CC BY 4.0; the German edition CC BY 2.5. The Arabic,
Persian, French and Swedish editions are listed under 3.4. https://www.wikinews.org
- Common Corpus (PleIAs), documents marked CC-By: open-access articles from OpenAlex and
arXiv, EUR-Lex and Eurovoc documents of the European Union (see 3.7), and German
political speeches, each under the license stated by its source.
https://huggingface.co/datasets/PleIAs/common_corpus
- Common Pile v0.1, documents under CC BY 2.5 / 3.0 / 4.0 (see 3.5).
- Open-access books, each credited to the authors and publishers named in it, under
the licence the platform records for it:
Language Science Press (CC BY 4.0) https://langsci-press.org
OpenStax (Rice University), editions released under CC BY 4.0, credited as each
book asks, in most of them to "OpenStax and its content contributors" (the
wording for each book: CREDITS_BOOKS.tsv) https://openstax.org
OAPEN Library (CC BY 2.0 / 3.0 / 4.0, as stated for each book)
https://library.oapen.org
Directory of Open Access Books (CC BY 4.0) https://directory.doabooks.org
HAL open archive (CC BY 4.0) https://hal.science
Arabic E-Book Corpus, Hindawi Foundation, books under CC BY 4.0
https://www.hindawi.org
EU Publications Office books: see 3.7. FAO books and the works under IGO licences:
see 3.8. Per-work credits for all of these books: CREDITS_BOOKS.tsv.
3.4 Creative Commons Attribution-ShareAlike (CC BY-SA)
--------------------------------------------------------------------------------
Modified: used to train a classifier.
- Wikipedia (Wikipedia contributors), CC BY-SA 4.0 and CC BY-SA 3.0, also available
under the GNU Free Documentation License. With thanks to Wikipedia's volunteer editors.
Through https://huggingface.co/datasets/HuggingFaceFW/finewiki (August 2025 dumps) and
https://huggingface.co/datasets/wikimedia/wikipedia (English).
- Wikipedia talk-page comments (Wikipedia contributors), CC BY-SA 3.0, through
https://huggingface.co/datasets/OxAISH-AL-LLM/wiki_toxic
- Wikisource (Wikisource contributors), CC BY-SA 4.0; the dump used is published under
CC BY-SA 3.0 and the GFDL. The works themselves are public domain or freely licensed.
https://wikisource.org and https://huggingface.co/datasets/wikimedia/wikisource
- Wikibooks (Wikibooks contributors), CC BY-SA 4.0 (older revisions CC BY-SA 3.0).
https://www.wikibooks.org
- Wikinews, Arabic, Persian, French and Swedish editions (Wikinews contributors),
CC BY-SA 4.0. https://www.wikinews.org
- databricks-dolly-15k (Databricks), CC BY-SA 3.0.
https://huggingface.co/datasets/databricks/databricks-dolly-15k
- HC3, wiki_csai subset (Hello-SimpleAI), CC BY-SA 4.0.
https://huggingface.co/datasets/Hello-SimpleAI/HC3
- Stack Exchange (Stack Exchange contributors), CC BY-SA 2.5 / 3.0 / 4.0, through
Common Pile v0.1 (see 3.5).
- Kanripo (Kanseki Repository) transcriptions of premodern Chinese texts, CC BY-SA 4.0.
https://github.com/kanripo
- NDLA (Norwegian Digital Learning Arena) learning resources, CC BY-SA 4.0.
https://ndla.no
- Deutsches Textarchiv (DTA core corpus), CC BY-SA 4.0 as stated in each item's TEI
header. https://www.deutschestextarchiv.de
- Common Corpus (PleIAs), documents marked CC-By-SA.
https://huggingface.co/datasets/PleIAs/common_corpus
- Common Pile v0.1, documents under CC BY-SA 2.5 / 3.0 / 4.0 (see 3.5).
- Open-access books under CC BY-SA 3.0 / 4.0 from the OAPEN Library, the Directory of
Open Access Books and HAL, each credited to the authors and publishers named in it.
Per-work credits for these books and Wikibooks pages: CREDITS_BOOKS.tsv.
3.5 Common Pile v0.1
--------------------------------------------------------------------------------
Includes documents from the Common Pile v0.1 (Kandpal et al., 2025, "The Common Pile
v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text";
https://huggingface.co/common-pile), each under the open license recorded in its
metadata (public domain, CC0, CC BY, CC BY-SA, the Open Parliament Licence, or a
permissive software license). Collections used: arXiv abstracts and papers,
Biodiversity Heritage Library, Caselaw Access Project, Data Provenance Initiative,
Directory of Open Access Books, Foodista, GitHub Archive, LibreTexts, Library of
Congress, News, OERCommons, peS2o, pre-1929 books, Pressbooks, Project Gutenberg,
Public Domain Review, Python Enhancement Proposals, Regulations.gov, Stack Exchange,
Ubuntu IRC, UK Hansard, USGPO, USPTO and WikiTeam wikis.
Modified (for the documents under a Creative Commons license): used to train a
classifier.
3.6 UK Parliament (Open Parliament Licence)
--------------------------------------------------------------------------------
Contains Parliamentary information licensed under the Open Parliament Licence v3.0.
(UK Hansard, through Common Pile v0.1.)
3.7 European Union
--------------------------------------------------------------------------------
- EUR-Lex. Legal documents from EUR-Lex (https://eur-lex.europa.eu),
© European Union, 1998-2026, re-used under the Commission's document reuse policy,
Decision 2011/833/EU. Obtained through EUR-Lex resources
(https://huggingface.co/datasets/joelniklaus/eurlex_resources), and through Common
Corpus (collections "Eurlex" and "Eurovoc", recorded there as CC-By;
https://huggingface.co/datasets/PleIAs/common_corpus).
- European Parliament. Plenary debates from the Europarl corpus v10
(https://www.statmt.org/europarl/). © European Union - Source: European Parliament
(https://www.europarl.europa.eu).
- Publications Office of the European Union. Books from https://op.europa.eu,
© European Union. The reuse policy of European Commission documents is implemented by
Commission Decision 2011/833/EU; these books are re-used under CC BY 4.0. Modified:
used to train a classifier. Where a book asks to be cited in a particular way
(Eurydice, JRC and some other reports), CREDITS_BOOKS.tsv gives that citation.
- VoxPopuli European Parliament speech transcripts (CC0 1.0), through Common Corpus.
3.8 International organizations
--------------------------------------------------------------------------------
World Bank (CC BY 3.0 IGO). Includes works of The World Bank, licensed under the Creative
Commons Attribution 3.0 IGO license (https://creativecommons.org/licenses/by/3.0/igo/).
Each work is credited in Appendix A as its copyright page asks. Modified: used to train a
classifier. This credit does not suggest that The World Bank endorses Source-1 or its
use. To the extent that Source-1 is regarded as an adaptation of these works: This is an
adaptation of an original work by The World Bank. Views and opinions expressed in the
adaptation are the sole responsibility of the author or authors of the adaptation and are
not endorsed by The World Bank. (One work in Appendix A is a joint OECD and World Bank
publication; its own adaptation notice is given there.)
Food and Agriculture Organization of the United Nations (FAO), CC BY 4.0. Includes books
from https://openknowledge.fao.org, copyright as stated in each book (mostly © FAO), under
the Creative Commons Attribution 4.0 International licence. Modified: used to train a
classifier. The citation FAO asks for ("Required citation") is given in CREDITS_BOOKS.tsv
for every FAO book whose text carries one (114 of the 115). There is no suggestion that FAO
endorses any specific organization, products or services, including Source-1. To the
extent that Source-1 is regarded as an adaptation of these works: "This adaptation was not
created by the Food and Agriculture Organization of the United Nations (FAO). FAO is not
responsible for the content or accuracy of this adaptation. The original editions shall be
the authoritative editions."
Inter-American Development Bank (CC BY 3.0 IGO). Includes one book published by the
Inter-American Development Bank (IDB) and deposited in HAL: Allen Blackman, Eduardo
Cavallo, Bridget Hoffmann and Adrien Vogt-Schilb (eds.), "Peril and Promise: Tackling
Climate Change in Latin America and the Caribbean", Inter-American Development Bank, 2025
(ISBN 978-1-59782-574-0, digital edition; https://shs.hal.science/halshs-04977766v1),
licensed under the Creative Commons Attribution 3.0 IGO license
(https://creativecommons.org/licenses/by/3.0/igo/legalcode), as its own text states (HAL
records CC BY 4.0). Also credited in CREDITS_BOOKS.tsv. Modified: used to train a
classifier. The IDB's name is used here only to credit the IDB, and no IDB logo is used.
This credit does not suggest that the IDB endorses Source-1 or its use.
UNESCO (CC BY-SA 3.0 IGO). Includes two books published by or with UNESCO and deposited
in HAL, credited in the form UNESCO's terms of use for its open access publications ask
for:
- Cléo Lossouarn et al. / Water, Megacities and Global Change / ISBN
978-92-3-100161-1 – licensed under CC BY-SA 3.0 IGO. (© UNESCO / ARCEAU IdF 2016;
https://enpc.hal.science/hal-01449109v1)
- David C. Andolfatto and Thomas Schrom (eds.) / The Restoration of Mangal Bahudvara
Caitya. A Tashi Gomang Stupa / ISBN 978-9937-9301-6-1 – licensed under CC BY-SA 3.0
IGO. (© UNESCO 2021; https://hal.sorbonne-universite.fr/hal-03900987v1)
Each book's own text states the Creative Commons Attribution-ShareAlike 3.0 IGO license
(https://creativecommons.org/licenses/by-sa/3.0/igo/); HAL records CC BY-SA 4.0. Also
credited in CREDITS_BOOKS.tsv, which lists the authors HAL records. Only the books' text
was used. Modified: used to train a classifier. No UNESCO logo is used, and this credit
does not suggest that UNESCO endorses Source-1 or its use. To the extent that Source-1 is
regarded as an adaptation of these works: Source-1 is not an official UNESCO publication
and shall not be considered as such.
3.9 Licence Ouverte / Open Licence 2.0 (Etalab)
--------------------------------------------------------------------------------
No document under the Licence Ouverte is in Source-1's training or validation splits:
the French public data in Common Corpus and the books deposited in HAL under this
licence were removed before training.
3.10 Other sources
--------------------------------------------------------------------------------
- HPLT v2.0, cleaned (https://huggingface.co/datasets/HPLT/HPLT2.0_cleaned). HPLT does
not own the text from which these data were extracted; it licenses the packaging
under CC0 1.0 and runs a notice-and-takedown policy.
- Apache-2.0: OpenAssistant oasst2 (https://huggingface.co/datasets/OpenAssistant/oasst2);
Aya Dataset (https://huggingface.co/datasets/CohereLabs/aya_dataset); Cosmopedia
(https://huggingface.co/datasets/HuggingFaceTB/cosmopedia); Meta Kaggle Code notebooks
by Kaggle, through https://huggingface.co/datasets/HuggingFaceTB/issues-kaggle-notebooks
- MIT: RAID (https://huggingface.co/datasets/liamdugan/raid); hh-rlhf (Bai et al., 2022,
"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human
Feedback", arXiv:2204.05862).
- Source code under permissive licenses (MIT, Apache-2.0, BSD-2-Clause, BSD-3-Clause,
ISC, CC0-1.0, Unlicense), as recorded for each file's repository, from
https://huggingface.co/datasets/codeparrot/github-code-clean,
https://huggingface.co/datasets/codeparrot/github-code,
https://huggingface.co/datasets/bigcode/commitpackft,
https://huggingface.co/datasets/bigcode/commitpack, and the Common Pile v0.1
GitHub Archive collection. Copyright in each file stays with its authors.
- CC0 1.0 and public domain, with thanks: Civil Comments
(https://huggingface.co/datasets/google/civil_comments); PleIAs Post-OCR-Correction
(https://huggingface.co/datasets/PleIAs/Post-OCR-Correction); Project Gutenberg
(https://www.gutenberg.org); the public-domain and CC0 collections of Common Pile v0.1
and Common Corpus (court decisions, laws and parliamentary papers from Brazil, China,
Denmark, Germany, Korea, Russia and the United States; Brazilian Chamber of Deputies
speeches; VoxPopuli; open-access articles); CC0 articles from PubMed Central; and
public-domain or CC0 books from Wikisource, the National Diet Library of Japan
(https://lab.ndl.go.jp), DBNL (https://dbnl.org), Project Ben-Yehuda
(https://benyehuda.org), the Hindawi Foundation, the Norwegian Colossal Corpus
(National Library of Norway, through NbAiLab), PleIAs Ukrainian cultural-heritage
books (Internet Archive) and HAL.
================================================================================
4. CONTACT AND REMOVAL REQUESTS
================================================================================
Questions about these credits, corrections, and removal or opt-out requests: open a
discussion in the Community tab of the model repository,
https://huggingface.co/msmth/Source-1/discussions. If your request involves personal
information, open a discussion without the details and we will arrange a private way to
reach us. We review every request and, where the content is in our training data,
exclude it from future versions; published weights cannot be changed.
================================================================================
APPENDIX A. WORLD BANK WORKS (CC BY 3.0 IGO)
================================================================================
Each entry is the attribution the work's copyright page asks for, followed by its record in
the World Bank Open Knowledge Repository. Modified: used to train a classifier. See 3.8 for
the adaptation notice and https://creativecommons.org/licenses/by/3.0/igo/ for the license.
A01. Alam, Muneeza Mehmood, and Lisa Bagnoli. 2024. Ten Thousand Steps in Her Shoes: The
Role of Public Transport in Women’s Economic Empowerment. Middle East and North
Africa Development Report Series. Washington, DC: World Bank.
doi:10.1596/978-1-46482091-5. License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/41786
A02. Alsharkas, Zeina, Jean Michel N. Marchat, Enrique Aldaz-Carroll, and Ana
Goicoechea. 2026. Competing in the Face of Climate Risks: Evidence from Firms and
Policy Priorities in MENAAP. Middle East, North Africa, Afghanistan, and Pakistan
Development Report. Washington, DC: World Bank. doi: 10.1596/978-1-4648-2335-0.
License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/45042
A03. Arévalo-Sánchez, Inés, Janet Heisey, Sarang Chaudhary, Timothy Clay, Victoria
Strokova, Puja Vasudeva Dutta, and Colin Andrews. 2024. The State of Economic
Inclusion Report 2024: Pathways to Scale. Washington, DC: World Bank.
doi:10.1596/978-1-4648-2076-2. License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/42408
A04. Bachas, Pierre, Oyebola Okunogbe, Mahvish Shaukat, and Dario Tortarolo. 2026.
Raising Revenue Right: A Roadmap for Domestic Resource Mobilization. Policy
Research Report. World Bank. doi: 10.1596/978-1-4648-2034-2. License: Creative
Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/45448
A05. Bandlien, Einar H., Sander De Kruijf, Eilen Arctander Vik, Ole Fredrik Ekern, Johan
Bernhard Siqueland Knudsen, Geoffrey Dyce, Silvana Tordo, and François Bertone.
2024. Water Management in Oil and Gas Operations: Industry Practice and Policy
Guidelines for Developing Countries. International Development in Focus.
Washington, DC: World Bank. doi:10.1596/978-1-4648-2047-2. License: Creative
Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/41055
A06. Begazo, Tania, Moussa P. Blimpo, and Mark A. Dutz. 2023. Digital Africa:
Technological Transformation for Jobs. Washington, DC: World Bank. doi:
978-1-4648-1737-3. License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/39491
A07. Beylis, Guillermo, Roberto Fattal Jaef, Michael Morris, Ashwini Rekha Sebastian,
and Rishabh Sinha. 2020. Going Viral: COVID-19 and the Accelerated Transformation
of Jobs in Latin America and the Caribbean. World Bank Latin American and Caribbean
Studies. Washington, DC: World Bank. doi:10.1596/978-1-4648-1448-8. License:
Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/34413
A08. Borgomeo, Edoardo, Claire Chase, Nicolas Salazar Godoy, and Victor Osei Kwadwo.
2023. Rising from the Depths: Water Security and Fragility in South Sudan.
International Development in Focus. Washington, DC: World Bank.
doi:10.1596/978-1-4648-1943-8. License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/38379
A09. Bossavie, Laurent, and Daniel Garrote-Sánchez. 2022. Safe and Productive Migration
from the Kyrgyz Republic: Lessons from the COVID-19 Pandemic. International
Development in Focus. Washington, DC: World Bank. doi:10.1596/978-1-4648-1905-6.
License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/38290
A10. Chapman, Emily Weedon, and Margaux Vinez, eds. 2023. Working Today for a Better
Tomorrow in Ethiopia: Jobs for Poor and Vulnerable Households. International
Development in Focus. Washington, DC: World Bank. doi:10.1596/978-1-4648-2020-5.
License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/40801
A11. Chatain, Pierre-Laurent, Emile van der Does de Willebois, and Maud Bökkerink. 2022.
Preventing Money Laundering and Terrorist Financing: A Practical Guide for Bank
Supervisors. Second edition. Washington, DC: World Bank.
doi:10.1596/978-1-4648-1851-6. License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/37726
A12. Chrimes, Tommy, Bram Gootjes, M. Ayhan Kose, and Collette Wheeler. 2024. The Great
Reversal: Prospects, Risks, and Policies in International Development Association
(IDA) Countries. Washington, DC: World Bank. doi: 10.1596/978-1-4648-2145-5.
License: Creative Commons Attribution CC BY 3.0 IGO.
https://openknowledge.worldbank.org/handle/10986/41403
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