Research/Terra/ 553414
Task evidence / country-choropleth

Create a map showing total labor force distribution across countries

PassComputational taskUnpublished draft
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The question

553414
Create a map showing total labor force distribution across countries.
Exact submitted task and declared adaptations
Create a map showing total labor force distribution across countries.

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
15m 15s
Recorded Blue tool calls
61
Total tokens
2,816,001
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added **Total labor force by country, 2023** to the map. It uses the frozen **2023** World Bank total labor force values in **people**, keeps all original country features and `benchmark_row_id`, and shows **five quantile classes** plus a separate **No data** category. The class breaks are **801,197**, **2,912,540**, **5,806,355**, and **15,829,771 people**. **186** countries have known values and **65** are No data. This is a **country-level** map only, not a subnational distribution surface. Those 65 No data countries remain unknown because the exact country-code join did not match or the 2023 value is missing. ### Limitations - This is a country-level map from a frozen 2023 snapshot; it does not show subnational labor-force distribution. - Unknown joins and missing 2023 measurements must remain unknown; no values will be guessed or replaced with another year. - This is a country-level 2023 indicator map; it does not show subnational labor-force distribution. - 65 countries remain No data after the exact join because 34 supplied country polygons did not match the table exactly and additional matched rows lack a 2023 measurement. - Country boundaries only; not a subnational labor-force surface. - Some exact country-code matches still have missing 2023 values. - Thirty-four country polygons do not match the table exactly, and 65 countries total remain No data after unmatched joins and missing 2023 values. - The final map layer binding will be verified after the delivery run.

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

Do the supplied frozen country and labor-force snapshots expose the exact fields needed for the required ISO_A3 to Country Code join and 2023 mapping?

assess_trial · completed · assessment: sufficient

The supplied frozen country snapshot exposes ISO_A3 and benchmark_row_id, and the frozen labor-force table exposes Country Code and a numeric 2023 field. The bounded inspections also confirmed the exact immutable item selections that will be reused in the production join.

run_trial · completed

Does the whole-world workflow preserve all supplied country features, join ISO_A3 to Country Code exactly, and produce the required 2023 quantile choropleth fields?

assess_trial · completed · assessment: sufficient

The whole-world trial preserved all 251 supplied country features and benchmark_row_id values, joined the frozen labor-force table by exact ISO_A3 to Country Code left join, and kept unknowns as No data. The joined 2023 field has 186 known numeric values and 65 unknowns. The classified output added labor_force_class with six observed categories including No data=0, and the summary reported five quantile classes for known values with breaks at 801,197; 2,912,540; 5,806,355; and 15,829,771 people.

assess_result · failed · requested assessment: sufficient

Delivered the final country choropleth from the supplied frozen inputs and added it to the map as layer [resource id withheld]. The final artifact keeps all 251 original country features and benchmark_row_id values, uses the frozen 2023 people counts in field 2023, and classifies them into labor_force_class with five quantile classes plus No data class 0. Final counts are 186 countries with known numeric values and 65 countries in No data.

assess_result · completed · assessment: sufficient

Delivered the final country choropleth from the supplied frozen inputs and added it to the map as layer [resource id withheld]. The final artifact keeps all 251 original country features and benchmark_row_id values, uses the frozen 2023 people counts in field 2023, and classifies them into labor_force_class with five quantile classes plus No data class 0. Final counts are 186 countries with known numeric values and 65 countries in No data.

Recorded workflow

  1. 01

    Classify frozen 2023 labor force

    Recorded vector-classify · succeeded

  2. 02

    Frozen country polygons

    Recorded source · succeeded

  3. 03

    Total labor force by country, 2023

    Recorded output · succeeded

  4. 04

    Join labor-force values to countries

    Recorded table-attribute-join · succeeded

  5. 05

    Frozen labor-force table

    Recorded source · succeeded

  6. 06

    Classify frozen 2023 labor force

    Recorded vector-classify · succeeded

  7. 07

    Frozen country polygons

    Recorded source · succeeded

  8. 08

    Join labor-force values to countries

    Recorded table-attribute-join · succeeded

  9. 09

    Frozen labor-force table

    Recorded source · succeeded

  10. 10

    Join labor-force values to countries

    Recorded output · succeeded

  11. 11

    Classify frozen 2023 labor force

    Recorded output · succeeded

  12. 12

    Frozen country polygons

    Recorded source · succeeded

  13. 13

    Frozen labor-force table

    Recorded source · succeeded

  14. 14

    Frozen country polygons

    Recorded output · succeeded

  15. 15

    Frozen labor-force table

    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 build this from the supplied frozen country layer and frozen 2023 labor-force table, test the join and classing on a small private draft first, then save the full map workflow and deliver the finished layer plus inspectable data artifact.

  2. get_analysis

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. Progress update

    I found both frozen inputs. Next I’m checking their actual fields and a small sample so I can bind the exact ISO_A3 ↔ Country Code join, keep every original country feature, and classify only the 2023 values without guessing anything.

  6. get_collection

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. Progress update

    The supplied inputs are managed snapshots without a live sample binding, so I’m switching to their exact item selections and then using a tiny private trial to inspect the real schema. That keeps the year frozen and avoids guessing field names.

  9. list_items

    Recorded tool call · completed

  10. list_items

    Recorded tool call · completed

  11. get_tool_help

    Recorded tool call · completed

  12. get_tool_help

    Recorded tool call · completed

  13. get_tool_help

    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. list_processors

    Recorded tool call · completed

  18. describe_processors

    Recorded tool call · completed

  19. describe_processors

    Recorded tool call · completed

  20. get_tool_help

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. Progress update

    I have the processor contracts. Before I submit the draft workflow, I’m trying a bounded inspect on the exact frozen items themselves so I can confirm the real source columns instead of assuming them from the task text.

  24. inspect_artifact

    Recorded tool call · failed

  25. inspect_artifact

    Recorded tool call · failed

  26. update_analysis_brief

    Recorded tool call · completed

  27. Progress update

    I’ve narrowed the main uncertainty: whether the frozen snapshots expose the exact fields named in the benchmark. I expect to see ISO_A3 and benchmark_row_id on the country layer, and Country Code plus a 2023 value column on the labor-force table. If that is true, I can move straight to the full left-join and quantile map.

  28. run_trial

    Recorded tool call · completed

  29. Progress update

    The field check finished in the background. I confirmed the country layer has ISO_A3 and benchmark_row_id, and the frozen labor-force table has Country Code. I still need one more bounded check on the 2023 column and then I can save the final full-world join-and-choropleth workflow.

  30. Progress update

    The source check worked. I’m now doing the useful end-to-end test: exact left join on ISO_A3 ↔ Country Code, then quantile classing on the frozen 2023 field. That will give me the real known/unknown counts, class breaks, and confirm the final map method before I save it.

  31. inspect_artifact

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. get_tool_help

    Recorded tool call · completed

  35. get_tool_help

    Recorded tool call · completed

  36. Progress update

    The last check failed for a simple argument reason, not a data gap: I asked the labor table for benchmark_row_id, which belongs on the country layer, not the indicator table. I’m correcting that now and then moving straight into the tested join-and-class workflow.

  37. inspect_artifact

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. inspect_artifact

    Recorded tool call · completed

  40. Progress update

    I’ve confirmed the country side. Now I’m pulling the corrected labor-table sample with the 2023 field, then I’ll lock the tested whole-world join and classing method into a saved workflow.

  41. assess_trial

    Recorded tool call · completed

  42. Progress update

    I’ve confirmed the exact frozen fields. Next is the short vertical slice that reaches the real output: full-world left join, then five-quantile classing on the frozen 2023 values. I expect all 251 country features to remain, unknowns to stay null/No data, and a new class field plus map-ready legend metadata on the final result.

  43. run_trial

    Recorded tool call · completed

  44. Progress update

    The end-to-end trial finished in the background. It kept all 251 country features, produced the joined 2023 values, and added a labor_force_class field. I’m doing one last inspection on the class summary now so I can carry the exact class counts and legend ranges into the saved final workflow instead of treating the successful run alone as proof.

  45. inspect_artifact

    Recorded tool call · completed

  46. inspect_artifact

    Recorded tool call · completed

  47. inspect_artifact

    Recorded tool call · completed

  48. Progress update

    I’ve tested the real method successfully. Now I’m turning that tested whole-world computation into the final saved workflow with the fixed join keys, fixed 2023 year, and fixed quantile classes, so the delivered map matches the benchmark rules exactly.

  49. get_tool_help

    Recorded tool call · completed

  50. get_tool_help

    Recorded tool call · completed

  51. inspect_artifact

    Recorded tool call · completed

  52. Progress update

    I’ve now got the exact class breaks and counts from the tested output: 186 countries with known 2023 values and 65 in No data. I’m doing the final map preview check, then I’ll save the tested workflow and publish its map layer.

  53. inspect_artifact

    Recorded tool call · completed

  54. get_trial_report

    Recorded tool call · completed

  55. assess_trial

    Recorded tool call · completed

  56. get_analysis

    Recorded tool call · completed

  57. list_map_layers

    Recorded tool call · completed

  58. Progress update

    The method is now tested end to end. I’m clearing the earlier planning notes in the brief, then I’ll save and run the final workflow from this exact tested computation so the delivered artifact and map layer use the verified counts and breaks.

  59. update_analysis_brief

    Recorded tool call · completed

  60. Progress update

    I’ve got enough evidence to lock the method. I’m saving the tested world workflow now with the exact frozen source selections, exact join keys, and the fixed five-quantile 2023 classification, then I’ll run that saved delivery.

  61. propose_workflow

    Recorded tool call · completed

  62. execute_workflow

    Recorded tool call · completed

  63. Progress update

    The saved delivery run has finished in the background. I’m inspecting its exact final artifact and output receipts now, then I’ll add the verified country layer to the map and record the final counts, coverage note, and layer ID.

  64. get_workflow_run

    Recorded tool call · completed

  65. inspect_workflow_results

    Recorded tool call · completed

  66. Progress update

    The run succeeded and the map layer is already verified on your map. I’m doing the last evidence pass on the final artifact itself—fields, class counts, and legend breaks—so the recorded answer object points to the exact delivered item, not just the earlier trial.

  67. inspect_artifact

    Recorded tool call · completed

  68. list_map_layers

    Recorded tool call · completed

  69. inspect_artifact

    Recorded tool call · completed

  70. inspect_artifact

    Recorded tool call · completed

  71. Progress update

    I’ve got the final layer ID and the final class summary. I’m fetching the exact final artifact rows one last time only because the answer object has to point to the delivered item itself, not the earlier trial.

  72. get_tool_help

    Recorded tool call · completed

  73. get_tool_help

    Recorded tool call · completed

  74. inspect_artifact

    Recorded tool call · completed

  75. inspect_artifact

    Recorded tool call · completed

  76. Progress update

    I’ve verified the delivered item, its class field, the class breaks, and the live map layer. I’m checking one small tool-detail now—the exact reference format for the final artifact receipts—so the recorded result links cleanly to the delivered output.

  77. search_knowledge

    Recorded tool call · completed

  78. search_knowledge

    Recorded tool call · completed

  79. Progress update

    I’ve verified the delivered item, its class field, its legend breaks, and the live layer on the map. I’m recording the final result now with the exact delivered artifact selection and map layer ID.

  80. assess_result

    Recorded tool call · failed

  81. Progress update

    Blue rejected that result call for a paperwork reason only: the condition labels must match the saved acceptance checks exactly. I’m correcting the labels and recording the same verified result.

  82. assess_result

    Recorded tool call · completed

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