Research/Terra/ 270481
Task evidence / country-choropleth

Show global labor force concentration

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

270481
Show global labor force concentration.
Exact submitted task and declared adaptations
Show global labor force concentration.

Task conventions: Use the frozen country polygons and World Bank SL.TLF.TOTL.IN 2023 column, in people. These are country-level indicators, not a subnational surface or a new regional aggregation. Join the supplied ISO_A3 to Country Code exactly. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature and benchmark_row_id, including unknowns. No data must have a distinct map category, not zero. Create a quantitative choropleth with five quantile classes (fewer only if tied values collapse breaks), a visible legend with numeric bounds and units, and a neutral No data category. Values equal to a class break enter the upper class. Preserve negative and genuine zero values. This fixed classification and year are disclosed evaluation conventions; do not retrieve live replacements.



Add the resulting quantitative country layer to the map and retain an inspectable data artifact containing the original country geometry, benchmark_row_id, numeric value and class. End with one fenced JSON object: {count: countries with a known numeric value, unknown_count: countries without one, coverage_note: string, selection: {collectionId, itemId, assetKey}, value_field: numeric_column_name, class_field: classification_column_name, map_layer_id: delivered_layer_id}. The artifact must include known AND unknown countries, not only the known subset. Explain the year, units, key limitations and legend in the final response.

Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.

Supplied immutable inputs:
[
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank SL.TLF.TOTL.IN",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
11m 45s
Recorded Blue tool calls
49
Total tokens
1,893,547
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the global labor force layer is on the map as **Global labor force concentration**. It uses the supplied frozen **World Bank country boundaries** and the supplied frozen **World Bank SL.TLF.TOTL.IN 2023** values, in **people**. The legend is a five-class **quantile** choropleth with breaks at **801,197**, **2,912,540**, **5,806,355**, and **15,829,771** people, plus a neutral **No data** class. Practical limits: this is a **country-level 2023 total** map only, not a subnational surface. **65 countries remain No data** because the exact **ISO_A3 → Country Code** join did not yield a usable frozen 2023 value for them, so they were kept unknown rather than guessed. Sources: supplied immutable GeoBenchX fixtures from Blue — **World Bank country boundaries** and **World Bank World Development Indicators SL.TLF.TOTL.IN (2023)**, retrieved in this run on **2026-10-07 UTC**. ### Limitations - The map shows country-level totals only. It does not show subnational distribution within countries. - Unknown countries remain unknown when the supplied ISO_A3 and Country Code do not exactly match or the frozen 2023 value is missing. - This is a country-level map of 2023 totals in people. It does not show where workers are located inside each country. - Sixty-five countries remain No data because the exact ISO_A3 to Country Code join did not produce a usable frozen 2023 value for them. - The result is limited to the supplied frozen country polygons. - Unknowns remain where the exact code match fails or the frozen 2023 value is missing. - If tied values collapse quantile breaks, fewer classes would be produced.

Independent checks

These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.

Expected count
186
Reported count
186
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 186,
  "actualCount": 186,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": true,
  "adjudication": null,
  "qualification": null,
  "reasons": []
}

Recorded investigation findings

The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.

run_trial · completed

Does the exact ISO_A3 to Country Code left join preserve every supplied country and produce the required 2023 quantile choropleth with a separate No data class?

assess_trial · completed · assessment: sufficient

The full-world test answered the method question. The exact left join preserved all 251 supplied country features and benchmark_row_id values, joined the frozen 2023 labor force field where Country Code exactly matched ISO_A3, and left 65 countries as unknown rather than guessing values. The classifier produced five quantile classes for the 186 known numeric values, with class 0 reserved for No data. Breaks were 801,197; 2,912,540; 5,806,355; and 15,829,771 people. The reported boundary convention is lower inclusive and upper exclusive, which places values equal to a break into the upper class as required.

assess_result · completed · assessment: sufficient

I delivered the requested global country choropleth from the supplied frozen inputs and added it to the map. The final layer contains all 251 supplied country features, 186 known 2023 labor force values in people, and 65 No data countries kept as unknowns. The final quantile breaks are 801,197; 2,912,540; 5,806,355; and 15,829,771 people, with class 0 reserved for No data. Sources used were the immutable Blue-produced GeoBenchX harmonized World Bank country boundaries item [resource id withheld] and the immutable Blue-produced frozen GeoBenchX World Development Indicators SL.TLF.TOTL.IN table item [resource id withheld], retrieved in this run on 2026-10-07 UTC.

Recorded workflow

  1. 01

    Quantile classification

    Recorded vector-classify · succeeded

  2. 02

    Global labor force concentration

    Recorded output · succeeded

  3. 03

    Join frozen 2023 labor force to countries

    Recorded table-attribute-join · succeeded

  4. 04

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  5. 05

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  6. 06

    Quantile classification

    Recorded vector-classify · succeeded

  7. 07

    Join frozen 2023 labor force to countries

    Recorded table-attribute-join · succeeded

  8. 08

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  9. 09

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  10. 10

    Join frozen 2023 labor force to countries

    Recorded output · succeeded

  11. 11

    Quantile classification

    Recorded output · succeeded

  12. 12

    Quantile classification

    Recorded output · succeeded

Activity

Recorded actions

Recorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.

  1. Progress update

    I’ll inspect the supplied country and indicator items first, then test the exact join and quantile classification before I save the production workflow.

  2. get_collection

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_map_context

    Recorded tool call · completed

  5. Progress update

    I found the workflow and trial tools. Next I’m checking the exact fields in the supplied boundary and labor-force items so the join uses only the frozen inputs and exact keys you specified.

  6. inspect_artifact

    Recorded tool call · failed

  7. inspect_artifact

    Recorded tool call · failed

  8. Progress update

    The inputs are the expected frozen Blue-generated fixtures. I’m sampling their schemas now to confirm the boundary key, the WDI country code field, the 2023 numeric column, and benchmark_row_id before I build the join.

  9. list_items

    Recorded tool call · completed

  10. list_items

    Recorded tool call · completed

  11. get_item

    Recorded tool call · completed

  12. get_item

    Recorded tool call · completed

  13. get_analysis

    Recorded tool call · completed

  14. list_processors

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. list_processors

    Recorded tool call · completed

  17. get_tool_help

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. describe_processors

    Recorded tool call · completed

  20. get_tool_help

    Recorded tool call · completed

  21. describe_processors

    Recorded tool call · completed

  22. Progress update

    I confirmed the available processors: an exact left attribute join and a vector quantile classifier that keeps unknowns in a separate No data class. I’m checking the proposal schema now so the saved production method records the exact frozen sources, year, join key, and class rules.

  23. get_tool_help

    Recorded tool call · completed

  24. get_tool_help

    Recorded tool call · completed

  25. get_tool_help

    Recorded tool call · completed

  26. get_tool_help

    Recorded tool call · completed

  27. get_tool_help

    Recorded tool call · completed

  28. get_tool_help

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. get_tool_help

    Recorded tool call · failed

  31. update_analysis_brief

    Recorded tool call · completed

  32. Progress update

    I’m running one full-world private test now. I expect a left join to keep all 251 countries, with known values on the exact code matches and a separate No data class for the unmatched or missing cases.

  33. run_trial

    Recorded tool call · completed

  34. Progress update

    The private test succeeded. It kept all 251 country features, joined 186 known 2023 values, and left 65 countries as No data. I’m checking the actual preview and sample rows now, then I’ll save and run the production workflow from this tested method.

  35. get_trial_report

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. Progress update

    The method is working on the full global extent. I’m finishing the evidence checks on the tested artifact, then I’ll save the production workflow from that tested computation, run it, add the verified map layer, and record the final answer object.

  40. inspect_artifact

    Recorded tool call · completed

  41. inspect_artifact

    Recorded tool call · completed

  42. inspect_artifact

    Recorded tool call · completed

  43. assess_trial

    Recorded tool call · completed

  44. get_tool_help

    Recorded tool call · completed

  45. get_tool_help

    Recorded tool call · completed

  46. get_tool_help

    Recorded tool call · completed

  47. Progress update

    The key evidence is confirmed now: 251 total country features, 186 known 2023 values, 65 unknowns, and five quantile classes with the required break handling. I’m saving the production workflow from this tested global method next.

  48. get_tool_help

    Recorded tool call · completed

  49. propose_workflow

    Recorded tool call · completed

  50. execute_workflow

    Recorded tool call · completed

  51. inspect_workflow_results

    Recorded tool call · completed

  52. Progress update

    The saved workflow finished in the background. I’m inspecting its exact final output and map-ready receipt now, then I’ll bind the verified country layer to the map and record the final answer object.

  53. get_workflow_run

    Recorded tool call · completed

  54. Progress update

    The final workflow already produced the map layer. I’m reading the final artifact and final class summary now so the recorded result uses the delivered item and the exact final layer ID, not just the trial copy.

  55. inspect_artifact

    Recorded tool call · completed

  56. inspect_artifact

    Recorded tool call · completed

  57. list_map_layers

    Recorded tool call · completed

  58. inspect_artifact

    Recorded tool call · completed

  59. Progress update

    I have the final delivered item and final map layer ID already. I’m pulling the final preview receipt now so the last assessment cites the delivered artifact itself, not only the trial evidence.

  60. assess_result

    Recorded tool call · completed

|||

© 2026 Exia Labs, Inc.