diff --git a/views/annealing_html/calibration-50-v1/views-annealing_html-calibration-50-v1-00000001-186fff901246c071.jsonl b/views/annealing_html/calibration-50-v1/views-annealing_html-calibration-50-v1-00000001-186fff901246c071.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..419df2d1719a9c6125ce587d03f22082008cb0ca --- /dev/null +++ b/views/annealing_html/calibration-50-v1/views-annealing_html-calibration-50-v1-00000001-186fff901246c071.jsonl @@ -0,0 +1,22 @@ +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_bd743569ec65c4c9a778538c","factory_annotations_excluded":true}},"id":"artifact_view_769104752837bf1862bef689","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_bd743569ec65c4c9a778538c","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"nasa-science-exoplanets-20260813","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"nasa-science-exoplanets-20260813","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"technical_manual"},"parents":["artifact_bd743569ec65c4c9a778538c"],"payload":"\n\n\n\n\nExoplanets: A Practical Brief\n\n\n\n
\n

Exoplanets

A decision brief on what we know, what comes next, and how to support the search for other worlds.

An exoplanet is any planet beyond our solar system. Most orbit other stars. Some are free-floating “rogue planets,” untethered to any star.

STARROGUE
\n

Scale changes the question

6,000

confirmed exoplanets, and counting.

NASA’s milestone arrives just over 30 years after the first exoplanets were found. Thousands more candidates await confirmation.

1995todayconfirmed discoveries
\n

Not one kind of world

Size and mass reveal a remarkable range of compositions.

01

Gas giant

Large, gas-rich planets like Jupiter and Saturn.

02

Neptunian

A category that includes smaller, gas-rich worlds.

03

Super-Earth

Worlds larger than Earth, with varied compositions.

04

Terrestrial

Rocky planets, alongside worlds dominated by water, ice, iron, or carbon.

Observed extremes include lava worlds, puffy planets with the density of Styrofoam, and dense planetary cores.

\n

The habitable zone is a filter, not a verdict

The area around a star where a planet could have liquid water on its surface.

STARtoo coldpossible liquid watertoo hot

Why search?

Whether life exists beyond Earth is one of the most profound questions of all time. The answer, whatever it is, will change us forever.

A habitable-zone location is a starting point for study. It does not establish that a planet is habitable or inhabited.

\n

Distance makes observation the strategy

1

Transit: watch a planet pass in front of its star and measure the dip in light.

2

Wobble: detect the star’s motion caused by an orbiting planet.

3

Coronagraph: block a star’s intense light to reveal smaller, dimmer planets nearby.

Nearest known example

4 light-years

Proxima Centauri b is still about 4 light-years away. One light-year equals 5.88 trillion miles, or 9.46 trillion kilometers.

\n

Roman expands the observatory toolkit

NASA’s Nancy Grace Roman Space Telescope is scheduled to launch Aug. 30, 2026.

Launch

Begin a new spaceborne observatory mission.

Coronagraph

Test technology that blocks starlight.

Panoramas

Create enormous views of the cosmos.

Discovery

Study exoplanets and planet-forming disks.

Instrument note

A grand-piano-sized starlight blocker

The Roman coronagraph is one of the most complex optical instruments ever built. It will help demonstrate direct-imaging capabilities for future missions.

The mission is also designed to address essential questions about dark energy and astrophysics.

\n

Public value sits in the data infrastructure

Catalog

A continuously updated reference

More than 6,000 confirmed planets, with descriptions, vital statistics, 3D models, and filters by type, discovery method, spacecraft, observatory, or facility.

Participation

Citizen science widens the search

NASA welcomes the public to sift through data. Volunteers have contributed to thousands of important discoveries.

Targeting

Prioritize nearby stars

The Target Star Catalog guides future missions seeking Earth-like exoplanets and signs of life. About 75 percent of stars in the Milky Way are red dwarfs.

The field has grown through spacecraft, ground observatories, improved detection methods, and public engagement.

\n

Recommendation

Treat exoplanet science as a long-horizon public capability, not a one-time milestone.

A

Invest in open, durable data access. Support catalogs, standards, visualization, and public interpretation.

B

Build participation into the program. Connect researchers, educators, and citizen scientists to usable datasets.

C

Plan for technology succession. Use Roman’s coronagraph demonstration to inform future searches for habitable worlds.

Decision lens

Fund the system around discovery.

Confirmed planets are the visible output. The durable public value is the capability to find, compare, explain, and responsibly pursue the next ones.

\n
\n\n\n","provenance":{"content_sha256":"ee1e1c71d73855fdb82806015fa341ddc62ab8825e55607f4c3fad2377fc6d84","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":18},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_df2a14a43f204775c620f571","factory_annotations_excluded":true}},"id":"artifact_view_7a6de8ded7b148118b3bfbc9","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_df2a14a43f204775c620f571","cluster":"artifacts","deck_arc":"evidence_to_pattern_to_implication","lineage_id":"fictional-api-migration-notes","narrative_program":"evidence_to_pattern_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-api-migration-notes","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"swiss_modernist"},"parents":["artifact_df2a14a43f204775c620f571"],"payload":"\n\n\n\n\nGateway Edge migration\n\n\n\n
\n
\n
\n

Gateway Edge
migration

\n

Move partner traffic from Gateway Classic to Gateway Edge without changing partner payloads.

\n
\n
→
\n
\n
\n\n
\n
\n
\n

The operating
constraints

\n

These conditions shape the cutover plan and the rollback decision.

\n
\n
\n
46active partner credentials
\n
3partners retry failed requests without exponential backoff
\n
02:10UTC billing export. It must not be interrupted.
\n
20 minutesrollback window while Classic configuration is retained
\n
\n
\n
\n\n
\n
\n
\n

The first risk is a measurement gap.

\n

The current dashboard groups all 429 responses together.

\n
\n
\n
429→one bucket today
\n
\n
Partner rate limiting
Client has reached its limit.
\n
Upstream capacity failure
Capacity is the constraint.
\n
\n

Before migration: distinguish these two causes.

\n
\n
\n
\n\n
\n
\n

A staged path
to Edge

\n
\n
\n
01

Mirror read-only traffic for seven days.

\n
02

Move five low-volume partners and compare status-code distributions.

\n
03

Move remaining partners in four cohorts.

\n
04

Retain Classic for 14 days, then revoke its credentials.

\n
\n
PAUSE IFp95 latency rises by more than 40 ms or error rate exceeds 0.5%.
\n
\n
\n
\n\n
\n
\n
\n

Same partner contract.
Different control point.

\n

Edge supports the current authentication scheme and does not require partner payload changes.

\n
\n
\n
\n

Payload + auth

\n
    \n
  • Partner payloads stay unchanged.
  • \n
  • Current authentication scheme is supported.
  • \n
\n
\n
\n

Rate limits

\n
    \n
  • Classic: per route.
  • \n
  • Edge: per client.
  • \n
\n
\n
\n
\n
\n\n
\n
\n
\n

Make the migration
observable, then reversible.

\n

The evidence to watch is status-code distribution, latency, and error rate across each cohort.

\n

Protect the billing export at 02:10 UTC. Keep Classic available through the rollback window and the retention period.

\n
\n
\n
20 minutesrollback window
\n
14 daysClassic retained
\n
0.5%error-rate pause threshold
\n
\n
\n
\n\n\n\n","provenance":{"content_sha256":"0d5a68b262da8d981cbf61ee1074ab33b1ef635e4bbe5bb59ebfd2d4a71796a6","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000012-n0006-w08/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_50489d3ac6588c753b251186","factory_annotations_excluded":true}},"id":"artifact_view_7b7c4aaa5dcce4fd53eac6c7","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_50489d3ac6588c753b251186","cluster":"artifacts","deck_arc":"evidence_to_pattern_to_implication","lineage_id":"bls-series-jts000000000000000jol-2020-2025","narrative_program":"evidence_to_pattern_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"bls-series-jts000000000000000jol-2020-2025","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"documentary"},"parents":["artifact_50489d3ac6588c753b251186"],"payload":"\n\n\n\n\nUS Job Openings\n\n\n\n
\n\n
\n
01 / 07
\n
\n
\n

US job openings

\n

A recent sequence of published observations, read as evidence before interpretation.

\n
\n

BLS series: JTS000000000000000JOL
Unit: Thousands

\n
\n
\n \n \n \n \n \n \n \n
\n
\n
\n\n
\n
02 / 07
\n

The evidence is a monthly sequence

\n

Recent published observations, exactly as returned by the public API.

\n
\n
\n \n \n \n \n \n \n \n \n \n \n
YearPeriodValue
2025December6550
2025November6846
2025October7170
2025September7169
2025August6919
2025July7089
\n
\n
6550
\n
December 2025, thousands
\n
\n

This is one observation. Its meaning depends on the path around it.

\n
\n
\n
\n\n
\n
03 / 07
\n

The path bends downward into year-end

\n

Values in thousands. The line connects the published monthly observations.

\n \n \n \n \n \n \n \n \n 7,5007,2507,0006,7506,500\n JUL 24OCTJAN 25APRJULOCT\n \n \n \n 6550\n \n
\n\n
\n
04 / 07
\n

Three visible turns in the record

\n
\n
Late 2024
7520

August peak in the supplied sequence.

\n
Early 2025
7431

January remains elevated relative to year-end.

\n
Spring 2025
7310

May follows February's 7242 with a lower reading.

\n
Autumn 2025
7170

October is nearly unchanged from September's 7169.

\n
Year-end
6550

December is the lowest observation shown.

\n
\n
Turning points are descriptive, not explanatory.
The table shows movement. It does not establish why movement occurred.
\n
\n\n
\n
05 / 07
\n
\n
\n

A single month is not the trend

\n

December 2025 stands out at 6550. The surrounding sequence gives that observation context.

\n
\n

The final three readings are:

\n

7170 → 6846 → 6550

\n
\n
\n \n \n \n \n 717068466550\n OCTNOVDEC\n \n
\n
\n
\n\n
\n
06 / 07
\n

What stakeholders can responsibly take forward

\n
\n
01

Direction: the supplied sequence moves lower into December 2025 after higher readings earlier in the year.

\n
02

Pattern: the path includes rebounds and plateaus, so the series is not a straight line.

\n
03

Discipline: use the observations to frame questions and monitor continuation. Do not infer causation from this table alone.

\n
\n
\n

This deck summarizes the supplied BLS series. It does not add outside measures or explanations.

\n
\n\n
\n
07 / 07
\n

The record leaves a clear monitoring question

\n
\n

Does the year-end low extend into the next observations, or does the sequence turn again?

\n
\n
\n
Series

JTS000000000000000JOL

\n
Unit

Thousands

\n
Latest shown

December 2025: 6550

\n
\n
\n
\n
\n\n
\n\n\n","provenance":{"content_sha256":"b8e67cf2c24e1707b86bb82db8b5e30ab3da3c2c58122a688efd2708b2b95e43","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000018-n0007-w12/briefs.jsonl","row_ordinal":6},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_1f0245e1020754a6c5a334dc","factory_annotations_excluded":true}},"id":"artifact_view_8821a111f6f4ea4cdcf3e1e5","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_1f0245e1020754a6c5a334dc","cluster":"artifacts","deck_arc":"question_to_mechanism_to_implication","lineage_id":"pes2o:234827080","narrative_program":"question_to_mechanism_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"pes2o:234827080","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"warm_human"},"parents":["artifact_1f0245e1020754a6c5a334dc"],"payload":"\n\n\n\n\nLow-Permeability Reservoirs\n\n\n\n
\n\n
\n
01 / 06
\n
\n
\n

How can tight reservoirs produce more?

\n
\n

Reservoir characteristics and effective development technology in typical low-permeability to ultralow-permeability reservoirs of China National Petroleum Corporation.

\n
\n
\n
\n
\n\n
\n
02 / 06
\n
\n
\n

The challenge is not one variable.

\n
\n

Low-permeability to ultralow-permeability reservoirs are crucial for increasing reserve volumes and crude-oil production, both now and in the future.

\n
\n
\n

The study addressed two major technical bottlenecks through a comprehensive combination of laboratory, simulation, logging, and field methods.

\n
\n
\n
\n\n
\n
03 / 06
\n

Start with the reservoir itself.

\n
\n

The research built a connected picture of pore structure, fluid movement, fractures, and remaining oil.

\n
\n
01

Characterize

Rate-controlled mercury injection, nuclear magnetic resonance, and conventional logging.

\n
02

Test

Physical simulation and numerical simulation to examine development behavior.

\n
03

Validate

Field practices to connect technical understanding with effective development.

\n
\n
\n\n
\n
04 / 06
\n

Water flooding must follow the reservoir’s structure.

\n
\n

For middle and high water-cut stages, the study established an adjustment mode based on fracture-guided injection and lateral displacement.

\n
\n

Fracture zone

Water is injected along the fracture zone.

\n
→
\n

Lateral displacement

Displacement is organized to improve sweep of the reservoir.

\n
\n

The work also studied the formation and distribution of dynamic fractures, described residual oil, and examined ways to expand sweep volume.

\n
\n\n
\n
05 / 06
\n

For Type II ultralow permeability, combine reach with stimulation.

\n
\n

A development mode combining horizontal wells and volume fracturing was determined, producing a significant improvement in initial single-well production.

\n
\n

Understand

Volume fracturing core theory and optimization design.

\n

Place

Horizontal well trajectory optimization and adjustment.

\n

Connect

Horizontal well injection-production well-pattern optimization.

\n

Adapt

Staged fracturing suited to different reservoir characteristics.

\n
\n
\n\n
\n
06 / 06
\n
\n
\n

From reservoir understanding to field-scale support.

\n
\n

The breakthrough of key technologies for effective development is intended to substantially support production across three major oilfields.

\n
\n
\n
\n
>50million tons per year oil-gas valent weight
Changqing Oilfield
\n
40million tons per year oil-gas valent weight
Daqing Oilfield
\n
20million tons per year oil-gas valent weight
Xinjiang Oilfield
\n
\n

The stated outcomes are the study’s support objectives, not independent production measurements.

\n
\n
\n
\n\n
\n\n\n","provenance":{"content_sha256":"c37063cd6ad61b72cb5f05dfc13a1a61123e719c92968cae0d81d3fc55d11a08","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000012-n0006-w08/briefs.jsonl","row_ordinal":0},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_58adcd7bdac76988210b1cca","factory_annotations_excluded":true}},"id":"artifact_view_912f92fadad34535e478fd0b","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_58adcd7bdac76988210b1cca","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"fictional-logistics-kpi-report","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-logistics-kpi-report","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"playful_geometric"},"parents":["artifact_58adcd7bdac76988210b1cca"],"payload":"\n\n\n\n\nRegional Freight Network Brief\n\n\n\n
\n\n
\n
\n
\n

Freight is moving faster.

\n

The regional network delivered more parcels this quarter, with stronger service performance and a clear capacity question ahead.

\n
\n
\n
\n \n \n \n \n
\n
\n
01 / 05
\n
\n\n
\n
\n

Quarter in three numbers

\n

Growth and reliability improved together. Cost moved the other way.

\n
\n
\n
1.84 millionparcels moved in the quarter
\n
9%more parcels than last year
\n
94.0%on-time delivery, up from 92.1%
\n
\n

The trade-off: cost per parcel rose from AUD 7.80 to AUD 8.35.

\n
02 / 05
\n
\n\n
\n
\n
\n

Reliability gained.
Cost followed.

\n
+7%
\n increase in cost per parcel, from AUD 7.80 to AUD 8.35\n
\n
\n
On-time
94.0%
\n
Last year
92.1%
\n
What drove the cost:
temporary line-haul capacity during two rail closures.
\n
\n
\n
03 / 05
\n
\n\n
\n
\n

Two depots, two signals

\n

One operating change created headroom. One staffing gap created missed service.

\n
\n
\n
\n WESTERN DEPOT\n

More volume, same footprint

\n

Processed 28% more volume with no increase in floor space after changing its sort sequence.

\n
\n
\n NORTHERN DEPOT\n

Targets missed on 12 days

\n

Agency staffing fell below plan, causing the depot to miss service targets on 12 days.

\n
\n
\n
04 / 05
\n
\n\n
\n
\n
\n
\n

Make the next move before summer.

\n

Management recommends a paired response: replicate the proven sequence and protect capacity.

\n
\n
\n
1
Adopt the western sequenceApply it at two comparable depots.
\n
2
Negotiate standby capacityDo so before the summer timetable is published.
\n
3
Keep the balance visibleTrack service gains alongside cost per parcel.
\n
\n
\n
05 / 05
\n
\n\n
\n\n\n","provenance":{"content_sha256":"c4feed746666d31842b3af188c016a2ab2f81c06df25ae52185f1603cc74e6a4","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000000-n0002-w01/briefs.jsonl","row_ordinal":0},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_d9272b2253aaebee774d4714","factory_annotations_excluded":true}},"id":"artifact_view_9915691e97a8ad01e5246ce9","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_d9272b2253aaebee774d4714","cluster":"artifacts","deck_arc":"criteria_to_tradeoffs_to_decision","lineage_id":"fictional-warehouse-options-table","narrative_program":"criteria_to_tradeoffs_to_decision","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-warehouse-options-table","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"retro_terminal"},"parents":["artifact_d9272b2253aaebee774d4714"],"payload":"\n\n\n\n\nEast Warehouse Decision\n\n\n\n
\n\n
\n
\n

East warehouse
next move

\n

A shortlist for detailed design, shaped by installation time, lease horizon, safety, and payback discipline.

\n
\n
\n\n
\n
\n

The decision is not procurement

\n
\n
\n

Choose one option for detailed design, then test the assumptions before committing.

\n
\n

The operating window is narrow. The answer must fit the site, the shutdown, and the remaining lease.

\n
\n
\n
4 yrlease remaining
\n
8 dmaximum shutdown installation
\n
3 yrfinance payback hurdle
\n
\n
\n
\n\n
\n
\n

Three routes, three different bets

\n \n \n \n \n \n \n \n
OptionUp-front costExpected pick-rate gainInstallation interruptionMain risk
A: guided pickingAUD 0.8m18%2 daysbenefit depends on training
B: conveyor retrofitAUD 2.6m34%16 dayssingle-vendor maintenance
C: mobile robotsAUD 4.1m42%7 daysfloor layout is untested
\n

The strongest headline gain is not automatically the strongest decision.

\n
\n\n
\n
\n

Tradeoffs become visible at the edges

\n
\n
\n

A / lowest commitment

\n
0.8m

AUD up-front

\n

18% expected pick-rate gain

2 days interruption

\n
\n
\n

B / interruption breach

\n
16 d

installation interruption

\n

34% expected pick-rate gain

Exceeds the 8-day shutdown limit.

\n
\n
\n

C / highest upside

\n
42%

expected pick-rate gain

\n

7 days interruption

Needs a live aisle trial before purchase.

\n
\n
\n
\n\n
\n
\n

Hard constraints narrow the field

\n
\n
Shutdown
B is outside the December limit. A and C fit within at most eight days.
\n
Lease
Four years remain. Any detailed design must be tested against the three-year payback hurdle.
\n
Safety
Robot purchase requires a live aisle trial first.
\n
Risk
A carries a training dependency. B carries single-vendor maintenance. C carries an untested floor layout.
\n
\n

Filter result: B is operationally misaligned. A and C remain viable for the next step.

\n
\n\n
\n
\n

Provisional direction: develop C

\n
\n
\n
Mobile robots offer the highest expected pick-rate gain while fitting the eight-day installation window.
\n
\n

This is a detailed-design recommendation, not final procurement approval.

\n
\n
\n

Gate before commitment

\n
    \n
  • Run the required live aisle trial.
  • \n
  • Validate the floor layout in operation.
  • \n
  • Test economics against the three-year payback hurdle.
  • \n
\n
\n
\n
\n\n
\n
\n

Decision today, evidence next

\n

Approve C for detailed design, with a live aisle trial as the first release gate.

\n
\n
01 / design

Map the proposed robot layout and installation sequence.

\n
02 / trial

Run the live aisle trial required by Safety.

\n
03 / economics

Check the investment against the three-year payback hurdle.

\n
04 / return

Bring evidence back before any final procurement decision.

\n
\n
\n\n
\n\n\n","provenance":{"content_sha256":"c56ea51edb6566908b30b1ae1c9351cf4baec442c020c3e7efb0b5b2306c28f5","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":8},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_dd8bc9c301f998b9a8731174","factory_annotations_excluded":true}},"id":"artifact_view_a93f80bbef1082bb38ae7899","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_dd8bc9c301f998b9a8731174","cluster":"artifacts","deck_arc":"evidence_to_pattern_to_implication","lineage_id":"bls-series-lns14000000-2020-2025","narrative_program":"evidence_to_pattern_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"bls-series-lns14000000-2020-2025","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"warm_human"},"parents":["artifact_dd8bc9c301f998b9a8731174"],"payload":"\n\n\n\n\nUS unemployment rate\n\n\n\n
\n

US unemployment rate

What the latest sequence says about direction, turning points, and the difference between one reading and a sustained trend.

BLS series: LNS14000000Unit: Percent
\n

The evidence is a recent monthly sequence

Published observations, July 2024 through December 2025. October 2025 is not reported in the supplied table.

\n
YearPeriodValue
2025December4.4
2025November4.5
2025October-
2025September4.4
2025August4.3
2025July4.3
2025June4.1
2025May4.3
2025April4.2
\n
YearPeriodValue
2025March4.2
2025February4.2
2025January4.0
2024December4.1
2024November4.2
2024October4.1
2024September4.1
2024August4.2
2024July4.2
Read the sequence.
The order matters as much as the latest number.
\n

Movement is modest, but not flat

Monthly unemployment rate, percent. July 2024 to December 2025.

4.54.34.13.9Jul ’24Dec ’24Jun ’25Dec ’25Oct ’25: -
\n

Three moments organize the story

The series moves within a narrow range, with a low in early 2025 and a higher late-year reading.

Starting point

4.2

July through November 2024 stays close to 4.1 to 4.2 percent.

Low point

4.0

January 2025 is the lowest published observation in the sequence.

Late-year high

4.5

November 2025 is the highest published observation. December is 4.4.

\n

One observation is not a trend

The latest published value, 4.4, sits above January’s 4.0. But the sequence includes several small reversals and one missing month.

Selected readings, not a forecast

4.0
4.4
4.5
Jan ’25Dec ’25Nov ’25
Useful conclusion: unemployment was higher at the end of the supplied sequence than at its early-2025 low.
\n

Read the direction, then respect the limits.

The sequence points from a stable 4.1 to 4.2 range in late 2024, down to 4.0 in January 2025, then upward to 4.5 in November and 4.4 in December.

This table alone does not establish causation. It shows published observations, not why the rate changed.

\n
\n\n\n","provenance":{"content_sha256":"dac0ca74e3ace067341ca751ddfb4bb50d2076dda5786ebdfdbe32ce594bbd5c","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000018-n0007-w12/briefs.jsonl","row_ordinal":3},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_150b62811d19c769623b6406","factory_annotations_excluded":true}},"id":"artifact_view_a9420944cd189952603e7a56","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_150b62811d19c769623b6406","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"libretexts:894c97cc8f84f8a2bc4cc29fc868db2fcecaf25d5dc2b6651d1583cc2bff7f51","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"libretexts:894c97cc8f84f8a2bc4cc29fc868db2fcecaf25d5dc2b6651d1583cc2bff7f51","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"data_story"},"parents":["artifact_150b62811d19c769623b6406"],"payload":"\n\n\n\n\nPower and Efficiency for Particles\n\n\n\n
\n
\n
\n
\n

Power and
Efficiency

\n

For particles, machines, and moving systems

\n
\n
9.2
\n
PHYSICS • WORK, ENERGY, AND SYSTEMS
\n
\n\n
\n
\n
\n
The central idea
\n

Power tells us
how fast work happens.

\n
\n

Power at any instant is the derivative of work with respect to time.

\n
P = dW / dt
\n
\n
\n
rate
\n
of doing work
\n
\n
More workin the same time means more power.
\n
Same workin less time means more power.
\n
\n
\n
\n
\n\n
\n
\n
\n
Average power
\n

One relationship,
many useful forms.

\n

Work is force times distance. Distance over time is velocity.

\n
Pave = W/t
= F·d/t
= F·v
\n
\n
\n
\n
work
W
\n
time
t
\n
velocity
v
\n
\n
Choose the form that matches what the problem gives you.
\n
\n
\n
\n\n
\n
\n
\n
Units and machines
\n

Power is measured
in energy per time.

\n
\n
1 watt1 joule per second
1 Newton-meter per second
\n
1 horsepower550 foot-pounds per second
\n
\n
\n
\n

Why motors are rated by power

\n

Gear trains can easily change the torque provided by a motor, but the overall power will not be altered by gearing.

\n
power ≈ force × velocity
\n
\n
\n
\n\n
\n
\n
\n
Efficiency
\n

Useful output
versus input.

\n

Devices with work or power inputs and outputs have losses, such as friction. Energy is always conserved, but heat may not be useful.

\n
η = Wout/Win
= Pout/Pin
\n
\n
\n

Input

work or power supplied

\n
→
\n

Output

useful work or power

\n
\n
\n
\n\n
\n
\n
\n

Efficiency cannot
exceed 100%.

\n

Efficiency greater than one would violate conservation of energy. We seek efficiencies as close to one as possible.

\n
Work or power “lost” in a device becomes heat that may build up.
\n
\n
\n
\n
100%
\n
upper limit
\n
\n
\n
useful
output
\n
losses
as heat
\n
\n
\n
\n
\n\n
\n

Three applications to solve

\n
\n
01

Car acceleration

A car delivers an average 100 horsepower to the road and weighs 1.2 tons. How long from 0 to 60 mph?

\n
02

Lift power

How much power raises a 1.2 ton car 6 feet in 15 seconds?

\n
03

Air drag

For a Mazda RX7, use drag, frontal area, air density, and max power to find theoretical top speed.

\n
\n
\n Fd = ½ρv²cdA\n Match the equation to the known quantities.\n
\n
\n\n
\n
\n
\n

Power measures the pace.
Efficiency measures the share.

\n

Use P = dW/dt or Pave = F·v for rate. Use η = Wout/Win = Pout/Pin for useful transfer.

\n
\n
9.2 • POWER AND EFFICIENCY FOR PARTICLES
\n
\n
\n\n\n","provenance":{"content_sha256":"c75ec3182e092a28bf28339f0d9d0559a7719306a23f0c740dd48b0926f25b95","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000018-n0007-w12/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_3af91744ed08f8659c542c13","factory_annotations_excluded":true}},"id":"artifact_view_a994c6b49f2a2640de907308","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_3af91744ed08f8659c542c13","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"open-tech-kubernetes-flow-control-22cc5093581b","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-kubernetes-flow-control-22cc5093581b","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"soft_futurist"},"parents":["artifact_3af91744ed08f8659c542c13"],"payload":"\n\n\n\n\nKubernetes API Priority and Fairness\n\n\n\n\n
\n

Keeping the Kubernetes API server fair under pressure

\n

API Priority and Fairness, or APF, helps important requests get through when traffic surges.

\n
\n
\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","provenance":{"content_sha256":"a47ccf70223bee27cde7664d66d77ad33dfb50a441bbe89c435654fbf359cdee","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000006-n0006-w04/briefs.jsonl","row_ordinal":3},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_2b60ff691962c7bcb05d0a5a","factory_annotations_excluded":true}},"id":"artifact_view_adc81d7a76f442a6cccd124c","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_2b60ff691962c7bcb05d0a5a","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"fictional-construction-near-miss","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-construction-near-miss","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"institutional_report"},"parents":["artifact_2b60ff691962c7bcb05d0a5a"],"payload":"\n\n\n\n\nSouth Gate Review\n\n\n\n
\n\n
\n
\n
\n

South Gate
review

\n
\n

A near miss at a live crane exclusion zone, and a practical way to prevent the next one.

\n
\n
01
\n

The lift was stopped before anyone was injured. The conditions that allowed entry still need attention.

\n
\n
\n
\n\n
\n

What happened at the gate

\n

Two moments show the immediate failure and the wider handover gap.

\n
\n
07:40
\n
\n

South gate

\n

A delivery driver entered the marked crane exclusion zone while a pallet was suspended. The dogger stopped the lift; nobody was injured.

\n

The temporary fence had been moved overnight to admit a concrete truck and was not restored.

\n
\n
08:25
\n
\n

Supervisor interview

\n

The pre-start briefing covered the lift plan but not the changed pedestrian route.

\n

Two subcontractors said the red ground markings were hard to see after rain.

\n
\n
\n
\n 1\n

near miss
no injury

\n
\n
\n\n
\n

Separate the visible failure
from the system weakness

\n
\n
\n

Direct barrier failure

\n

The temporary fence was moved and not restored. A driver could enter the exclusion zone.

\n
Control missing at the point of risk
\n
\n
\n

Broader handover problem

\n

The changed pedestrian route was absent from the pre-start briefing. Wet conditions also reduced the visibility of ground markings.

\n
Change not carried through to people
\n
\n
\n
\n A strong response must address both. Fixing only the fence leaves the next change unmanaged.\n
\n
\n\n
\n

Three response options

\n

The immediate controls are already clear. The choice is how far to extend them.

\n
\n
\n

1. Restore the barrier

\n

Keep rigid barriers in place and move the sign-in point away from the live route.

\n

Strength: directly closes the access point.
Limit: depends on reliable shift-change checks.

\n
\n
\n

2. Add delivery control

\n

Use a spotter for deliveries and confirm the route before vehicles enter.

\n

Strength: manages movement at the gate.
Limit: relies on people being present and briefed.

\n
\n
\n

3. Combine controls

\n

Keep the physical controls, then make route changes visible in every handover and audit.

\n

Strength: addresses the barrier and the change process.
Limit: requires disciplined follow-through.

\n
\n
\n
\n\n
\n

Recommendation: make the safe route
the default, then verify it

\n
\n
\n
\n

Adopt option 3 now

\n

Retain rigid barriers, the delivery spotter and the relocated sign-in point. Add one mandatory handover question: “What changed in the pedestrian route?”

\n
\n
    \n
  • Refresh or replace markings where rain reduces visibility.
  • \n
  • Record any unauthorised entry at each shift change.
  • \n
  • Keep the review explicit: barrier failure plus handover weakness.
  • \n
\n
\n
\n
\n 30 days\n

Safety will audit barrier placement at every shift change.

\n
\n

Success means the route is controlled when conditions change, not only when the original lift plan is followed.

\n
\n
\n
\n \n
\n \n
\n \n
\n
\n\n
\n\n\n","provenance":{"content_sha256":"23581b305b9e0a4b57f89252a5f33a84bd0dc06ca4df4cf0aca5368b92e45eba","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":24},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_760d59ae6ac011e958938d07","factory_annotations_excluded":true}},"id":"artifact_view_b006fb43724d046e5795ac20","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_760d59ae6ac011e958938d07","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"fictional-library-program-report","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-library-program-report","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"soft_futurist"},"parents":["artifact_760d59ae6ac011e958938d07"],"payload":"\n\n\n\n\nDigital Help Pilot\n\n\n\n
\n
\n
\n
\n
\n
\n

Digital help,
made practical.

\n

A four-library pilot shows where guided support works, and where the service model needs a more careful next step.

\n
\n
\n
\n
\n\n
\n
What the pilot delivered
\n

Four neighbourhood libraries. One focused service.

\n
\n
684sessions delivered
\n
25 minbookable appointment length
\n
Feb–Maypilot period
\n
\n
\n

Visitors booked help with online forms, account security, or basic device setup.

\n

The pilot used AUD 96,000 from a one-year inclusion grant.

\n
\n
\n\n
\n
What participants tell us
\n
\n
\n
72%
\n

said they completed the task they had brought to the session.

\n

A follow-up call reached 238 participants.

\n
\n
\n

The strongest signal is task completion.

\n
\n
61%

concerned government or health services

\n
24%

concerned password or account recovery

\n
65+

participants were more likely to book a second session

\n
1

fixed format, with a clear limit for complex cases

\n
\n
\n
\n
\n\n
\n
The expansion choice
\n

Scale the reach, without hiding the constraint.

\n
\n
\n

Keep the current model

\n

Retain four sites and the 25-minute appointment. This protects the format that works for simple tasks.

\n Continuity\n
\n
\n

Expand to all eleven libraries

\n

Expansion would require either shorter sessions or two additional part-time specialists.

\n Choice required\n
\n
\n

Staff said the fixed appointment length worked for simple tasks but was too short for identity-document problems.

\n
\n\n
\n
\n
\n

Recommendation:
retain, then test.

\n

Retain the four sites while testing a triage call for complex cases. Use that test to understand which requests need more time before deciding how to expand.

\n
\n
\n

Practical next step

\n
    \n
  • Keep the four-library service in place.
  • \n
  • Test a triage call for complex cases.
  • \n
  • Use findings to inform any move to all eleven libraries.
  • \n
\n
\n
\n
\n
\n\n\n","provenance":{"content_sha256":"0c8bf3fbfaad6e1fed2facc886f0027d58c721807eccb7abeec27224f6dd1246","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":7},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_a383e6c51561401e326db05f","factory_annotations_excluded":true}},"id":"artifact_view_b6bf4d5bb4ed24f44bc2c7e2","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_a383e6c51561401e326db05f","cluster":"artifacts","deck_arc":"criteria_to_tradeoffs_to_decision","lineage_id":"bls-series-prs85006092-2020-2025","narrative_program":"criteria_to_tradeoffs_to_decision","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"bls-series-prs85006092-2020-2025","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"retro_terminal"},"parents":["artifact_a383e6c51561401e326db05f"],"payload":"\n\n\n\n\nUS nonfarm business labour productivity\n\n\n\n\n
\n
\n

US nonfarm business
labour productivity

\n

A compact read of the latest BLS sequence: direction, turning points, and what the table can and cannot support.

\n
\n

Decision frame: treat the latest observation as a signal, not a sustained trend.

\n
\n
BLS / PRS85006092 / UNIT: INDEX
\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n","provenance":{"content_sha256":"751b11beed86244b933079761f90921df007046a59646690efda017e16b91aa6","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000012-n0006-w08/briefs.jsonl","row_ordinal":2},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_ce4a9c2ba730adc4eea8978f","factory_annotations_excluded":true}},"id":"artifact_view_cc2eb6362cc07bc75d06d6a0","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_ce4a9c2ba730adc4eea8978f","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"pes2o:268904106","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"pes2o:268904106","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"luxury_noir"},"parents":["artifact_ce4a9c2ba730adc4eea8978f"],"payload":"\n\n\n\n\nCrystal Structure of an Imidazolium Hexafluorophosphate\n\n\n\n\n
\n

The crystal structure of 1-(4-carboxybutyl)-3-methyl-1H-imidazol-3-ium hexafluoridophosphate

\n

A single-crystal view of a functional ionic liquid, its exchanged anion, and the hydrogen-bonded network it forms.

\n
\n
\n\n
\n

From ionic liquid to crystal structure

\n
\n

Ionic liquids are important functional materials applied in catalysis, extraction, liquid crystals and electrochemistry.

\n
\n
ImidazoliumFunctional organic cation
\n
Carboxylic acidDesigned molecular functionality
\n
PF₆⁻Hexafluorophosphate counterion
\n
\n
\n\n
\n

The exchange reaction

\n
\n
\n

The bromide anion was exchanged by hexafluorophosphate.

\n
\n

Commercial 1-(4-carboxybutyl)-3-methyl-1H-imidazol-3-ium bromide was combined with potassium hexafluorophosphate in distilled water.

\n
\n
\n
Reaction inputs
\n

0.01 mol bromide salt
0.01 mol potassium hexafluorophosphate
10 mL distilled water

\n
\n
Key result
\n

Br⁻ anions are completely substituted by hexafluorophosphate groups without residual Br⁻ anions.

\n
\n
\n
\n\n
\n

How colorless crystals appeared

\n
\n
01 · Stir

Reactants were stirred magnetically for about 24 h.

\n
02 · Extract

The mixture was transferred to a separatory funnel and extracted with 10 mL CH₂Cl₂.

\n
03 · Evaporate

The organic phase was placed at room temperature and evaporated slowly.

\n
04 · Grow

After about one week, colorless crystals suitable for single crystal X-ray diffraction were obtained.

\n
\n

No other guest solvent molecules occur in the asymmetric unit.

\n
\n\n
\n

A triclinic unit cell

\n
\n
\n \n \n \n \n \n \n triclinic geometry\n \n
\n
\n

C₉H₁₅F₆N₂O₂P

\n
\n

triclinic, P 1̄ (no. 2)

\n

a = 8.678(8) Å   b = 9.085(9) Å   c = 10.279(8) Å

\n

α = 84.23(2)°   β = 79.02(2)°   γ = 62.103(14)°

\n

V = 62.10(1) ų   Z = 2   T = 296 K

\n
\n
\n
\n\n
\n

What the molecule looks like

\n
\n
\n

A carboxyl group connects to the imidazole ring through a twist-arrangement of four methylene groups.

\n
\n

The two C–O bond distances are close: 1.254(6) Å for C5–O2 and 1.289(5) Å for C5–O1. This embodies a delocalized state for the carboxyl C=O and C–O bonds.

\n
\n
\n
Refinement details
\n
  • All H atoms were located at calculated positions.
  • H atoms were refined isotropically through a riding model.
  • The hexafluorophosphate group is disordered over two positions with site occupancy ratio of 0.49:0.51[3].
\n
\n
\n
\n\n
\n

Hydrogen bonds build the network

\n
\n
C–H⋯F

The hexafluorophosphate group and imidazolecarboxylic acid interact through C-H⋯F hydrogen bond with D or R 2 2 (8) style.

\n
O–H⋯O

Two molecules associate through carboxyl groups to form a dimer.

\n
ABAB fashion

Hydrogen bonds connect molecules one by one into a stable 3-dimensional network along b axis.

\n
\n

No classical hydrogen bonds exist in the structure of this compound.

\n
\n\n
\n
\n

One exchanged anion, one connected structure

\n

Single-crystal X-ray diffraction reveals complete bromide substitution, a disordered PF₆⁻ group, carboxyl dimers, and a stable 3-dimensional hydrogen-bonded network.

\n
\n

Centroid distance between adjacent imidazole rings: 8.878(8) Å. No π⋯π interactions are present.

\n
\n
\n\n\n\n\n","provenance":{"content_sha256":"9c7dc75c4f3fb229632a6693aed184059662127995fb4821a43bf066decd39e6","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":12},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_88c40b0f637171a828ebcac1","factory_annotations_excluded":true}},"id":"artifact_view_d0559c9f32926d5ea70dcf14","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_88c40b0f637171a828ebcac1","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"open-tech-airflow-logging-architecture-90c0c8cf2e4b","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-airflow-logging-architecture-90c0c8cf2e4b","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"playful_geometric"},"parents":["artifact_88c40b0f637171a828ebcac1"],"payload":"\n\n\n\n\nAirflow Logging and Monitoring\n\n\n\n
\n
\n
\n \n \n \n \n \n
\n

Airflow
Logging &
Monitoring

\n

How Airflow records events, captures metrics, and routes operational signals.

\n
\n
\n\n
\n \n
\n

One architecture, three kinds of signal

\n

Airflow supports several logging and monitoring mechanisms across its running components.

\n
\n
\n Web server\n

Produces logs for the Airflow web interface.

\n
\n
\n Scheduler\n

Produces logs while coordinating workflows.

\n
\n
\n Workers\n

Produce logs while running tasks.

\n
\n
\n

The logging configuration must be available to all three processes.

\n
\n
\n\n
\n
\n
\n

Start local: fast feedback

\n
\n
\n
\n
\n

By default, Airflow logs to the local file system.

\n

This includes logs from the web server, Scheduler, and Workers running tasks.

\n
\n
\n

Best fit

\n

Development environments and quick debugging.

\n
\n
\n
\n

Local files keep the first debugging loop simple. They are the default, not the only option.

\n
\n
\n\n
\n \n
\n

Cloud storage changes the destination

\n
\n
\n

Community-contributed task handlers support cloud storage such as:

\n
\n AWSGoogle CloudAzure\n
\n
\n
\n

Configuration is shared infrastructure

\n

Specify logging settings in the Airflow Configuration file. It needs to be available to the Web server, Scheduler, and Workers.

\n
\n
\n
\n

Customize per component through the configuration file, or use advanced logging configuration for more control.

\n
\n
\n
\n\n
\n
\n

Production: collect, then explore

\n

For production deployments, the notes recommend separating collection from the systems used to search and understand signals.

\n
\n
\n

Airflow

Logs and metrics

\n
\n
\n
\n

FluentD

Capture and send logs

\n
\n
\n
\n

Destinations

ElasticSearch or Splunk

\n
\n
\n
\n Metrics path\n StatsD → Prometheus\n
\n
\n
\n\n
\n \n
\n

From default to dependable

\n
\n
\n
01
\n

Develop

\n

Use local file logging for quick debugging.

\n
\n
\n
02
\n

Configure

\n

Make shared settings available to every Airflow process.

\n
\n
\n
03
\n

Operate

\n

Use FluentD for logs and StatsD for metrics in production.

\n
\n
\n
\n

Next step: read the Airflow documentation on configuring task logging and advanced logging configuration.

\n

Licensed under the Apache License, Version 2.0.

\n
\n
\n
\n
\n
\n\n\n","provenance":{"content_sha256":"bbf4dab58b1f5d99f2b24eafceb8565cd0e445c8ec7f473b0f9bab5356282338","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":9},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_3df630e0d03bd1360ee8282a","factory_annotations_excluded":true}},"id":"artifact_view_d8a8f802b11279699a44f518","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_3df630e0d03bd1360ee8282a","cluster":"artifacts","deck_arc":"question_to_mechanism_to_implication","lineage_id":"libretexts:60b7efa44d9b005dd435f0055f021134b665c240f35dc8585dd9d1f161e493c3","narrative_program":"question_to_mechanism_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"libretexts:60b7efa44d9b005dd435f0055f021134b665c240f35dc8585dd9d1f161e493c3","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"quiet_editorial"},"parents":["artifact_3df630e0d03bd1360ee8282a"],"payload":"\n\n\n\n\nElectronic Retailing: Advantages and Disadvantages\n\n\n\n
\n\n
\n
\n

What does electronic retailing make possible?

\n

E-tailing expands convenience, reach, and information. It also introduces costs, distance, and trust challenges.

\n
\n AdvantagesDisadvantages\n
\n
01 / 08
\n
\n\n
\n

One channel, two sides

\n
\n
\n
\n
+
\n

The upside

\n

Retailers can reach beyond their immediate market area and let consumers shop when and where they want.

\n
\n
\n
−
\n

The trade-off

\n

The online channel requires recurring investment, while making some human parts of shopping harder to reproduce.

\n
\n
\n
02 / 08
\n
\n\n
\n

Reach is the first advantage

\n

A physical store is bounded by location and hours. An online storefront changes both boundaries.

\n
\n
Immediate
market area
→
\n
Broader
consumer reach
→
\n
Shop when
and where you want
\n
\n
\n

Electronic retailing makes the retailer more convenient, regardless of actual store locations or hours.

\n
\n
03 / 08
\n
\n\n
\n

Digital operations can extend the store

\n
\n
\n
01
\n

Fulfillment

\n

Orders can pull from reserve inventory across the distribution network.

\n
\n
\n
02
\n

Visibility

\n

Shoppers get product information, accurate inventory tracking, and current promotional offers.

\n
\n
\n
03
\n

Service

\n

Secure transactions and direct access to information can elevate customer service.

\n
\n
\n
04 / 08
\n
\n\n
\n

Every transaction leaves information behind

\n
\n
\n

“A tremendous amount of information for the retailer.”

\n

That information can be analyzed to adjust operations or deployed to develop CRM initiatives with shoppers.

\n
\n
\n

Data → adjustment

Improve operations as patterns emerge.

\n

Data → relationship

Create customized offers and deepen customer relationships.

\n
\n
\n
05 / 08
\n
\n\n
\n

The online experience has limits

\n

E-tailing may be effective transactionally, but it does not recreate every part of in-store shopping.

\n
\n

Less sensory

Products appear on a two-dimensional screen. They cannot be touched, handled, tried on, or sampled.

\n

Less discovery

Online merchandising may make it harder to cross-sell complementary items and expand the shopping basket.

\n

Less guidance

High-consideration purchases may lack the salesperson support, recommendations, add-ons, or extended warranties shoppers prefer.

\n
\n
06 / 08
\n
\n\n
\n

Convenience can shift work to the shopper

\n
\n
\n
The friction
\n

An incorrect purchase is not simply handed back across a counter.

\n
\n
\n
The conditions
\n
    \n
  • Returns may be limited to a specific time period.
  • \n
  • Items may need to be in original packaging.
  • \n
  • Shipping or restocking may create an added cost.
  • \n
\n
\n
\n

These restrictions can become detractors and create a negative shopping experience.

\n
07 / 08
\n
\n\n
\n

Competitive advantage depends on trust

\n
\n
\n

What retailers must sustain

\n
    \n
  • Web development and optimization
  • \n
  • Inventory control and order fulfillment
  • \n
  • Data security and accurate updates
  • \n
\n

These are recurring costs, not one-time costs.

\n
\n
\n

What shoppers must be willing to share

\n
    \n
  • Payment information
  • \n
  • Personal information for ongoing marketing
  • \n
  • Confidence that privacy is respected
  • \n
\n
\n
\n
\n

If security and privacy are not managed well, they can undermine e-tailing efforts.

\n

Source: “Advantages and Disadvantages of Electronic Retailing,” Patrick Williams, Lumen Learning. CC BY: Attribution.

\n
08 / 08
\n
\n\n
\n\n\n","provenance":{"content_sha256":"0888205f9a8078d42354c396e4814e74b8ff8b7c1f80a1b5176e286d2fc52a05","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":11},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_4d69fdf3f00ce8b81e0014d7","factory_annotations_excluded":true}},"id":"artifact_view_dfe45c3e9028bd47a0dc6902","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_4d69fdf3f00ce8b81e0014d7","cluster":"artifacts","deck_arc":"question_to_mechanism_to_implication","lineage_id":"bls-series-cuur0000sa0-2020-2025","narrative_program":"question_to_mechanism_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"bls-series-cuur0000sa0-2020-2025","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"luxury_noir"},"parents":["artifact_4d69fdf3f00ce8b81e0014d7"],"payload":"\n\n\n\n\nUS Consumer Price Index\n\n\n\n
\n
\n
\n
\n

US Consumer
Price Index

\n

What does the latest sequence tell us about direction, turning points, and the limits of a single observation?

\n
\n
CUUR0000SA0BLS series
\n
IndexUnit
\n
2024–25Published observations
\n
\n
\n
\n\n
\n
\n
\n

The latest reading is
not the whole story.

\n

The table retains recent published observations exactly as returned by the public API.

\n
A close reading needs both the endpoint and the path that led to it.
\n
\n
\n
DECEMBER 2025
\n
324.054
\n

Index value

\n
\n

November 2025
324.122

\n

October 2025
Value unavailable: -

\n
\n
\n
\n\n
\n

Across the sequence, the direction is mostly upward.

\n

Monthly observations from July 2024 through December 2025. October 2025 is shown as unavailable.

\n
\n \n \n 325320315\n \n \n Jul ’24Jan ’25SepDec\n 324.800324.054\n \n
\n
\n\n
\n
\n
\n

Turning points sit inside
the longer movement.

\n

The sequence supports description. It does not, by itself, establish causation.

\n
\n
\n
01

Late 2024
Values cluster around the mid-315s.

\n
02

Early 2025
January begins at 317.671, followed by higher readings.

\n
03

September peak
324.800 is the highest published value shown.

\n
04

Year-end easing
November: 324.122. December: 324.054.

\n
\n
\n
\n\n
\n
\n
\n

One observation is a point.
A trend is a sequence.

\n

December is slightly below November. That comparison is useful, but it is narrower than the broader rise visible across the available observations.

\n
Read the latest value in context. Separate month-to-month movement from sustained direction.
\n
\n
\n
ENDPOINT DETAIL
\n
324.054
Dec ’25
\n SepOctNovDec\n
\n
\n
\n\n
\n

Stakeholder takeaway

\n
\n
\n

Use the series to frame the conversation, not to overstate what the table can prove.

\n
\n
1

Anchor discussion in the published value and period.

\n
2

Check the sequence for direction and turning points.

\n
3

Do not infer causation from this table alone.

\n
\n
\n
\n

Recent observations

\n \n \n
YearPeriodValue
2025December324.054
2025November324.122
2025October-
2025September324.800
2025August323.976
2025July323.048
\n

BLS series: CUUR0000SA0. Unit: Index.

\n
\n
\n
\n
\n
\n
\n\n\n","provenance":{"content_sha256":"2e1b6b912d4943acca6e4e618235287a36a5fd53f39350545f75c0540c8c8a8f","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000006-n0006-w04/briefs.jsonl","row_ordinal":5},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_d2f55a27ff2e9a97abce99b4","factory_annotations_excluded":true}},"id":"artifact_view_e03b9fe2c33c84f64ed25aa9","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_d2f55a27ff2e9a97abce99b4","cluster":"artifacts","deck_arc":"criteria_to_tradeoffs_to_decision","lineage_id":"world-bank-deu-en-ghg-co2-pc-ce-ar5-2018-2024","narrative_program":"criteria_to_tradeoffs_to_decision","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"world-bank-deu-en-ghg-co2-pc-ce-ar5-2018-2024","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"kinetic_typography"},"parents":["artifact_d2f55a27ff2e9a97abce99b4"],"payload":"\n\n\n\n\nGermany carbon emissions per person\n\n\n\n
\n
\n
\n

Germany's carbon signal is moving down.

\n
\n

2018 → 2024

\n

Carbon dioxide emissions excluding LULUCF per capita, measured in t CO2e/capita.

\n
\n
↘
\n
\n\n
\n

Make the decision on three criteria.

\n
\n
01
Recency

Use the latest reported value as the current snapshot.

\n
02
Direction

Read the multi-year movement, not one isolated point.

\n
03
Precision

Keep the indicator definition and reported values intact.

\n
\n

The series is an open-data snapshot. It describes the reported measure, not its causes.

\n
\n\n
\n

The series falls from 2018 to 2024.

\n

World Bank indicator EN.GHG.CO2.PC.CE.AR5

\n
\n
\n
9.00657809367265
2018
\n
8.38218043063623
2019
\n
7.72103264767393
2020
\n
8.06128144646434
2021
\n
7.91182860265874
2022
\n
7.07982839106762
2023
\n
6.94395663386317
2024
\n
\n
\n
\n\n
\n

Tradeoff one: latest signal versus historical high.

\n
\n
2018 reported value
9.0066
t CO2e/capita
\n
2024 reported value
6.9440
t CO2e/capita
\n
\n

A latest-year decision is more current. A multi-year view is more directional.

\n
\n\n
\n

Tradeoff two: progress is not perfectly linear.

\n
\n
9.0066
2018
\n
\n
8.3822
2019
\n
\n
7.7210
2020
\n
\n
8.0613
2021
\n
\n
7.9118
2022
\n
\n
7.0798
2023
\n
\n
6.9440
2024
\n
\n

The 2021 value is higher than 2020. The 2024 value is the lowest reported value in this seven-year snapshot.

\n
\n\n
\n

Choose what the data can support.

\n
\n
Decision lens A

Use 2024 as the current reference point: 6.94395663386317.

\n
Decision lens B

Use 2018 to 2024 to establish direction across the snapshot.

\n
Decision lens C

Report both. This preserves recency and avoids over-reading one year.

\n
Guardrail

Do not attach causal explanations absent from the source material.

\n
\n
\n\n
\n

The decision: use the latest value inside the full trend.

\n

Anchor the current readout to 2024, while showing the 2018–2024 sequence as context.

\n
6.94395663386317t CO2e/capita
2024 reported value
\n

Indicator: Carbon dioxide (CO2) emissions excluding LULUCF per capita (t CO2e/capita).
Open-data snapshot.

\n
\n
\n\n\n","provenance":{"content_sha256":"ff990f4d8de028c1e98250708832871a932d1a4340386fae0c4016a04de2e1e0","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":22},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_b0c9ad6ea58f24e95598e17b","factory_annotations_excluded":true}},"id":"artifact_view_e3ac157e5cc3aa6c4954dfb0","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_b0c9ad6ea58f24e95598e17b","cluster":"artifacts","deck_arc":"question_to_mechanism_to_implication","lineage_id":"fictional-coastal-sensor-field-notes","narrative_program":"question_to_mechanism_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-coastal-sensor-field-notes","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"institutional_report"},"parents":["artifact_b0c9ad6ea58f24e95598e17b"],"payload":"\n\n\n\n\nNorth Inlet Sensor Review\n\n\n\n
\n
\n

What did the first 30 days tell us?

\n
\n

A field review of reliability, public understanding, and the operating choices ahead.

\n
\n
\n

North inlet sensor network

\n

Three moments shaped the review: a field repair, a public question, and a cost signal.

\n
\n
Project stakeholder briefing
\n
\n
\n\n\n\n\n\n\n\n\n\n\n\n","provenance":{"content_sha256":"2b6613a20ab17191028eb9314d1a77249914782a528f91f6d495e7486bb85577","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000002-n0004-w02/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_24e125734eb8b6325ee70a44","factory_annotations_excluded":true}},"id":"artifact_view_e6eefe91b8c86d2e617d0b18","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_24e125734eb8b6325ee70a44","cluster":"artifacts","deck_arc":"question_to_mechanism_to_implication","lineage_id":"world-bank-bra-se-sec-enrr-2018-2024","narrative_program":"question_to_mechanism_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"world-bank-bra-se-sec-enrr-2018-2024","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"playful_geometric"},"parents":["artifact_24e125734eb8b6325ee70a44"],"payload":"\n\n\n\n\nBrazil secondary-school enrolment\n\n\n\n
\n
\n
\n
\n

Brazil secondary-school enrolment

\n

What the latest open-data snapshot shows, and how to read the series.

\n WORLD BANK INDICATOR · SE.SEC.ENRR\n
\n
\n
\n\n
\n
\n
\n
?
\n

What changed
in the latest reading?

\n
\n
\n
104.144660949707
\n

The 2024 value is slightly below the 2022 and 2021 readings in this six-year snapshot.

\n
\n

Indicator: School enrollment, secondary (% gross)

\n
\n
\n
\n
\n
\n\n
\n

The reported series, year by year

\n

Brazil · World Bank indicator SE.SEC.ENRR · School enrollment, secondary (% gross)

\n \n \n \n \n \n 107105103101\n \n \n \n \n \n 201820192020202120222024\n 105.702369689941\n 106.298461914062\n 104.144660949707\n 103.882659912109\n \n
Reported value (% gross)
\n
\n
\n\n
\n

How to read “% gross”

\n
\n
100+
\n
\n

A gross enrollment ratio compares enrollment in secondary education with the official school-age population for that level.

\n
\n

Because the measure is gross, the reported ratio can be above 100. The values in this snapshot should be read as the indicator’s reported percentage, not as a count of students.

\n
\n
\n
\n
\n\n
\n

What this snapshot can support

\n
\n

Track

Use the same indicator and definition to follow movement across reported years.

\n

Compare carefully

Keep the measure visible when discussing values, especially the “% gross” label.

\n

Stay precise

Describe the observed series without assigning causes that are not present in the source.

\n
\n
\n
\n\n
\n

The clear takeaway

\n
\n

Brazil’s reported secondary-school enrollment ratio stayed near 104 to 106 across the six listed years.

\n
2024: 104.144660949707

Indicator: School enrollment, secondary (% gross)
\n
\n
\n
\n
\n\n\n","provenance":{"content_sha256":"c987e304616145e6c0938452d4f549f503fccc25077bab835dc7b1dec563063b","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000000-n0002-w01/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_a777a092c70f3e586f5cb9be","factory_annotations_excluded":true}},"id":"artifact_view_effb18d2bff091fd4974ce65","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_a777a092c70f3e586f5cb9be","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"nasa-science-climate-evidence-20260813","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"nasa-science-climate-evidence-20260813","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"data_story"},"parents":["artifact_a777a092c70f3e586f5cb9be"],"payload":"\n\n\n\n\nEvidence of Rapid Climate Change\n\n\n\n
\n
\n

Evidence of rapid climate change

Earth is warming at an unprecedented rate. Human activity is the principal cause.

\n
\n
\n
\n\n
\n

The signal is clear across time

\n

Earth’s climate has changed throughout history. The current warming is happening at a rate not seen in the past 10,000 years.

Most earlier shifts were linked to small variations in Earth’s orbit. The current warming trend is clearly the result of human activities since the mid-1800s.

ice-age cycles10,000 years agotoday
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Earth has experienced eight cycles of ice ages and warmer periods in the last 800,000 years. The last ice age ended about 11,700 years ago.

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\n\n
\n

Human activity changed the atmosphere

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“Since systematic scientific assessments began in the 1970s, the influence of human activity on the warming of the climate system has evolved from theory to established fact.”

Intergovernmental Panel on Climate Change (IPCC)

\natmospheric CO₂Industrial Revolutiontoday\n

Ice cores and modern direct measurements show that atmospheric CO₂ has increased since the Industrial Revolution.

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\n\n
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Independent records converge

Satellites, instruments, ice cores, tree rings, ocean sediments, coral reefs, and sedimentary rocks all reveal a changing climate.

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10×

Faster warming

Current warming is occurring roughly 10 times faster than the average rate after an ice age.

250×

Faster CO₂ increase

CO₂ from human activities is increasing about 250 times faster than after the last Ice Age.

90%

Extra energy in the ocean

The ocean stores most of the extra energy accumulated in the Earth system.

\n

Scientific evidence for warming of the climate system is unequivocal.

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\n\n
\n

The planet is responding in many places

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Global temperature

2°F

About 1°C since the late 19th century. Most warming occurred in the past 40 years.

Ocean warming

0.67°F

Top 100 meters warmed since 1969. That is 0.33°C.

Sea level

8 in

About 20 centimeters in the last century. The recent rate is nearly double.

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Ice sheets

Greenland lost an average of 279 billion tons of ice per year between 1993 and 2019. Antarctica lost about 148 billion.

Glaciers and snow

Glaciers are retreating almost everywhere. Northern Hemisphere spring snow cover is decreasing and melting earlier.

Arctic sea ice

Both extent and thickness have declined rapidly over the last several decades.

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\n\n
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Some risks are accelerating together

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record high temperaturesintense rainfall events

Extreme events are increasing in frequency

In the United States, record high temperature events have increased while record low events have decreased since 1950. Intense rainfall events are also increasing.

Ocean acidification is increasing

Surface ocean acidity has increased about 30% since the beginning of the Industrial Revolution. The ocean absorbs 20% to 30% of human-caused CO₂ emissions.

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\n\n
\n

What can a practical response prioritize?

The evidence points to a response that reduces the cause while preparing for changes already underway.

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01

Measure

Use long-running observations from satellites, instruments, ice cores, and ecological records.

02

Cut emissions

Prioritize actions that reduce carbon dioxide and other heat-trapping gases.

03

Protect water

Plan for warmer oceans, rising seas, changing snow, and glacier retreat.

04

Reduce exposure

Prepare communities for heat, intense rainfall, flooding, and ecosystem disruption.

05

Review

Track outcomes and update the plan as new measurements arrive.

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\n\n
\n

Recommendation: act on the evidence now

\n

Adopt a measured, two-track climate plan.

  • Reduce greenhouse-gas emissions, with carbon dioxide as a central priority.
  • Build resilience to heat, flooding, sea-level rise, shrinking ice, and changing water conditions.
  • Use the same indicators to measure progress and revisit decisions regularly.

Why this is the practical choice

The evidence is not a single measurement. It is a consistent pattern across atmosphere, ocean, cryosphere, and biosphere.

Scientific evidence for warming of the climate system is unequivocal.

The decision is to reduce avoidable risk while preparing for observed change.

\n
\n
\n\n\n","provenance":{"content_sha256":"c7b9d854c6b3851d84047b149049470a87171639fea7497ef8c3ee17d163525b","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":4},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_72737dcfb94405812751d5f3","factory_annotations_excluded":true}},"id":"artifact_view_f0afe050b0948f2b1a4a0d04","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_72737dcfb94405812751d5f3","cluster":"artifacts","deck_arc":"evidence_to_pattern_to_implication","lineage_id":"open-tech-github-actions-workflows-53a11a948705","narrative_program":"evidence_to_pattern_to_implication","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-github-actions-workflows-53a11a948705","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"warm_human"},"parents":["artifact_72737dcfb94405812751d5f3"],"payload":"\n\n\n\n\nAbout workflows\n\n\n\n
\n
\n
\n
\n

About
workflows

\n

A workflow connects an event to work that runs through jobs, runners, and steps.

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\n
\n
\n\n
\n
\n
Workflow basics
\n

The essential parts

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A workflow must contain the following basic components:

\n
\n
\n
1
Events

One or more events that will trigger the workflow.

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2
Jobs and runners

One or more jobs, each of which will execute on a runner machine and run a series of one or more steps.

\n
3
Steps

Each step can either run a script that you define or run an action, which is a reusable extension that can simplify your workflow.

\n
\n
\n\n
\n
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The pattern
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One event.
Multiple jobs.

\n

A triggering event can set work in motion across runners.

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\n
\n
\n
Eventtriggers the workflow
\n
→
\n
Runner 1runs Job 1
\n
→
\n
Runner 2runs Job 2
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\n

Diagram of an event triggering Runner 1 to run Job 1, which triggers Runner 2 to run Job 2. Each of the jobs is broken into multiple steps.

\n
\n
\n\n
\n
\n
Inside a job
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Jobs are made of steps.

\n

Each job executes on a runner machine. Its steps can combine scripts you define with reusable actions.

\n
\n
\n

Job 1

StepActionStep
\n

Job 2

ScriptStepAction
\n
\n
\n\n
\n
\n

Workflow
triggers

\n

Events are the starting point for a workflow.

\n
\n
\n
\n\n
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\n
Next steps
\n

Keep tracing
the workflow.

\n
\n
\n

For more information on these basic components, see AUTOTITLE.

\n

For more information, see AUTOTITLE.

\n
Next steps
\n
\n
\n
\n \n
\n\n\n","provenance":{"content_sha256":"31b990540928047aee4ad0341fcd4178b2214f58cd5b70ee5848a9a5dba1e46b","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":3},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"} +{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_b9a99bac6b9304f14db0f997","factory_annotations_excluded":true}},"id":"artifact_view_f86a00ffd2971d5400b8aee9","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_b9a99bac6b9304f14db0f997","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"open-tech-github-dependency-caching-53a11a948705","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-github-dependency-caching-53a11a948705","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"brutalist_poster"},"parents":["artifact_b9a99bac6b9304f14db0f997"],"payload":"\n\n\n\n\nWorkflow Dependency Caching\n\n\n\n
\n\n
\n
\n

Workflow
Dependency
Caching

\n

How reused files make workflow runs faster, cheaper, and safer when handled carefully.

\n
→
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\n
\n\n
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\n
\n

The recurring
download problem

\n
\n

Workflow runs often reuse the same outputs or downloaded dependencies from one run to another.

\n
\n
\n
\n

Common examples

\n

Maven
Gradle
npm
Yarn

\n
\n
\n

These package and dependency management tools keep a local cache of downloaded dependencies.

\n
\n
\n
\n
01 / CONCEPT
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\n\n
\n
\n
\n
01
\n

Clean runner.
Same work.

\n
\n
\n

Jobs on -hosted runners start in a clean runner image and must download dependencies each time.

\n
\n

The cost of repetition

\n
    \n
  • Increased network utilization
  • \n
  • Longer runtime
  • \n
  • Increased cost
  • \n
\n
\n

To help speed up the time it takes to recreate files like dependencies, can cache files you frequently use in workflows.

\n
\n
\n
\n\n
\n

Cache = saved
reusable files

\n
\n
\n
\n

Without caching

\n

Clean runner
↓
Download dependencies
↓
Run workflow

\n
\n
\n

With caching

\n

Clean runner
↓
Restore cached files
↓
Run workflow faster

\n
\n
\n

The goal is to speed up the time it takes to recreate files like dependencies.

\n
\n\n
\n
\n
\n

Security is part
of the design

\n
\n

A cache is shared by branch or tag, not by workflow or job identity.

\n
\n
\n
\n

Never cache

\n

Secrets or other sensitive data.

\n
\n
\n

Any run that can read a cache restores its contents as-is. Treat restored files as untrusted input.

\n
\n
\n

See GITHUB_REF for the branch used for various workflow triggers.

\n
\n
\n
\n
\n\n
\n

Where poisoning
can happen

\n
\n
\n
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Low-trust trigger

\n

A pull_request from a fork can restore sensitive cache contents.

\n

Untrusted workflows can read sensitive cache contents.

\n
\n
\n

Poisoned cache

\n

Poisoned caches can lead to code execution in trusted workflows.

\n

To limit the risk, gives workflows that run in response to low-trust triggers read-only access to caches in the default branch's scope.

\n
\n
\n
\n\n
\n
\n
\n
03
\n

Use caching.
Keep trust
boundaries clear.

\n
\n
\n

Remember

Reuse dependencies to reduce repeated work.

\n

Protect

Treat restored files as untrusted input. Never store secrets or other sensitive data in a cache.

\n

Investigate

For details on cache scope, access restrictions, and best practices for using caches securely, see AUTOTITLE.

\n

Next steps

For more information on workflow run artifacts, see AUTOTITLE.

\n
\n
\n
\n\n
\n\n\n","provenance":{"content_sha256":"20c22e7112c80058617e853c5c998e492f3fb2a3fcef48d0e40f81be66f609be","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000012-n0006-w08/briefs.jsonl","row_ordinal":4},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}