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Tarefa crb_papers.q119

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T171027Z-suite-crb_papers-naive-54c3f2

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
2.096092886 in [0.4484057356, 1.125505716]?

Família do método (das chamadas de ferramentas): Regressão linear por mínimos quadrados ordinários (MQO) · infer.ols (ols · regressão linear)

Calculado pelo agente
coef.Dvotespercent =2,096092.0960928858168635
Coefficient on Dvotespercent in the regression of petpooled
via infer.ols (call_9ec85880)
Valor esperado (gabarito)
coef.Dvotespercent =[0.44840573556750324,1.125505715908347]
Como foi validado
1 de 2 verificações obrigatórias aprovadas
interval · [0.44840573556750324, 1.125505715908347]

Pergunta feita ao analista

What is the average effect, at the 50% two-party vote threshold, of a Democrat narrowly winning a House seat on that representative's probability of signing a civil-rights discharge petition in the 88th Congress?

Resposta

Estimativa ingênua (infer.ols): coef.Dvotespercent = 2,096.

Como o agente resolveu e como foi validado

Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.

  1. 1Preparação da base de dados
    ds_0084— | Variable Name | Description | | --- | --- | | Unnamed: 0 | Row index from the source CSV; not a substantive data field. | | petpooled | Outcome indicator for the **88th U.S. Congress (1963–1964)**: equals 1 if the House member signed **at least one** pro–civil-rights discharge petition during the 88th Congress (as coded from archival discharge-petition signature records); 0 otherwise. | | Dvotespercent | Democratic candidate’s share of the **two-party** vote in the member’s U.S. House district in the **immediately preceding House general election** (Democratic votes ÷ (Democratic + Republican votes)); recorded on a 0–1 scale (e.g., 0.50 = 50%). For the 88th Congress, this corresponds to the election held just before the 1963–1964 term. | | icpsr | ICPSR numeric identifier for the legislator (member-level ID used to link to other historical congressional datasets). | Dataset Context: This file is a member-level snapshot drawn from a larger project on congressional civil rights politics in the mid‑twentieth century. **This particular extract contains one record per U.S. House member serving in the 88th Congress (1963–1964) only**; accordingly, there is no separate “Congress”/session identifier column in this file. The included fields capture (i) whether the member signed any pro–civil-rights discharge petition during the 88th Congress, (ii) the district’s Democratic two‑party vote share from the immediately prior House election, and (iii) the member’s ICPSR identifier. The underlying study assembled archival evidence on discharge petition signatures from the National Archives (covering 1933–1976) and linked those signatures to legislators. Election returns were matched using standard historical House election datasets, and member identifiers come from ICPSR. The broader research situates these data within an effort to trace how members advanced civil rights outside of roll‑call votes—particularly through discharge petitions that could bring bills to the floor despite committee gatekeeping—providing insight into party coalitions and legislative activity during 1933–1972.
  2. 2Chamada que gerou a resposta finalinfer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na resposta
    Ver chamada call_9ec85880 nos detalhes

    Linha de base ingênua: regressão do resultado no tratamento, sem controles.

    Argumentos principais
    dataset:
    "ds_0084"
    intercept:
    true
    level:
    0,950.95
    se:
    "HC1"
    x:
    ["Dvotespercent"]
    y:
    "petpooled"
    Resultado calculado
    • coef.Dvotespercent = 2,09609 2.0960928858168635
      Coefficient on Dvotespercent in the regression of petpooled
    Diagnósticos: n_obs = 303303 (observations used) · k = 22 (parameters estimated, fixed-effect dummies included) · r2 = 0,3537770.35377698421228865 · df_resid = 301301 · se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
  3. 3Conferência de lastro e resposta final

    Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).

    Números encontrados: 2,096
    Figuras citadas: call_9ec85880:coef.Dvotespercent
    • #0resposta com lastro
      every number traced to a tool call or the question
    • #1figura da resposta próxima
      CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q119.gold (closed, evaluate_result.py; no --auto-rescale)
    • #2figura da resposta próxima
      replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    • #3figura da resposta próxima
      replication cell: the gold SE to rel 1e-6; never required

Aprofundamento técnico para especialistas

Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.

Valores esperados e de onde vêm

crb_papers.q119.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 119 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['119'].effect and .standard_error
Trecho
index 119: effect 0.786956, standard_error 0.17273
Valor como publicado
0.7869557257379252
Erro-padrão como publicado
0.17272958682164383
Valor
0,7869560.7869557257379252 (se 0,172730.17272958682164383)
Conferido por
arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json
Licença
MIT
  • #2 figura da resposta próxima: 0,7869560.7869557257379252 · relativa 0.000001 · absoluta 1.7272958682164382e-7
  • #3 figura da resposta próxima: 0,172730.17272958682164383 · relativa 0.000001 · absoluta 1.7272958682164382e-7

crb_papers.q119.script

Fonte
CausalReasoningBenchmark reference estimation script for index 119
Tipo
software
Localização
solutions/research_papers/RDD/schickler_etal_2009d/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 1074 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
Implementação
independente da ferramenta
sha256 da cópia lida
e1f558d3199e479b8448c965eb5eebab444e3fa093d0bc27e387915fae0b87c0 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/schickler_etal_2009d/question_1/estimation.py
Licença
MIT
    Especificação técnica do gabarito

    CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci

    Verificações

    Cada verificação, o que esperava, o que observou e a chamada que leu
    #VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
    0
    resposta com lastro
    every number traced to a tool call or the question
    every number backed
    obrigatóriapassou0 sem lastro0 sem lastro[]———
    1
    figura da resposta próxima
    CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q119.gold (closed, evaluate_result.py; no --auto-rescale)
    2.096092886 in [0.4484057356, 1.125505716]?
    obrigatóriafalhou[0.44840573556750324,1.125505715908347]2,096092.0960928858168635interval · [0.44840573556750324, 1.125505715908347]—call_9ec85880
    2
    figura da resposta próxima
    replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    2.096092886 vs 0.7869557257379252
    registradafalhou0,7869560.78695572573792522,096092.0960928858168635relativa 0.000001 · absoluta 1.7272958682164382e-7crb_papers.q119.goldcall_9ec85880
    3
    figura da resposta próxima
    replication cell: the gold SE to rel 1e-6; never required
    0.1599412103 vs 0.17272958682164383
    registradafalhou0,172730.172729586821643830,1599410.15994121031715117relativa 0.000001 · absoluta 1.7272958682164382e-7crb_papers.q119.goldcall_9ec85880

    Caminho de referência e caminho do agente

    A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

    Nenhum caminho de referência registrado para esta tarefa.

    Trajetória

    Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

    1. 0Início

      What is the average effect, at the 50% two-party vote threshold, of a Democrat narrowly winning a House seat on that representative's probability of signing a civil-rights discharge petition in the 88th Congress?

      ds_0084 (agent)

      | Variable Name | Description | | --- | --- | | Unnamed: 0 | Row index from the source CSV; not a substantive data field. | | petpooled | Outcome indicator for the **88th U.S. Congress (1963–1964)**: equals 1 if the House member signed **at least one** pro–civil-rights discharge petition during the 88th Congress (as coded from archival discharge-petition signature records); 0 otherwise. | | Dvotespercent | Democratic candidate’s share of the **two-party** vote in the member’s U.S. House district in the **immediately preceding House general election** (Democratic votes ÷ (Democratic + Republican votes)); recorded on a 0–1 scale (e.g., 0.50 = 50%). For the 88th Congress, this corresponds to the election held just before the 1963–1964 term. | | icpsr | ICPSR numeric identifier for the legislator (member-level ID used to link to other historical congressional datasets). | Dataset Context: This file is a member-level snapshot drawn from a larger project on congressional civil rights politics in the mid‑twentieth century. **This particular extract contains one record per U.S. House member serving in the 88th Congress (1963–1964) only**; accordingly, there is no separate “Congress”/session identifier column in this file. The included fields capture (i) whether the member signed any pro–civil-rights discharge petition during the 88th Congress, (ii) the district’s Democratic two‑party vote share from the immediately prior House election, and (iii) the member’s ICPSR identifier. The underlying study assembled archival evidence on discharge petition signatures from the National Archives (covering 1933–1976) and linked those signatures to legislators. Election returns were matched using standard historical House election datasets, and member identifiers come from ICPSR. The broader research situates these data within an effort to trace how members advanced civil rights outside of roll‑call votes—particularly through discharge petitions that could bring bills to the floor despite committee gatekeeping—providing insight into party coalitions and legislative activity during 1933–1972.

      file 1957f1d9ad54c70564313ef23af30a8bdcec0443bc6e9ded12db6b4d8d24c9ea · frame —
    2. 1Turno do modelo
      call_0b34ace9naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Texto visível

      Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Chamadas pedidas
      • infer.ols
        {
          "dataset": "ds_0084",
          "x": [
            "Dvotespercent"
          ],
          "y": "petpooled"
        }
    3. 2Ferramenta
      infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_9ec85880decidido pelo modeloreexecutável

      Motivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0084",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "Dvotespercent"
        ],
        "y": "petpooled"
      }
      Figuras call_9ec85880
      ChaveValorValor brutoErro-padrãoIC
      coef.Dvotespercent
      Coefficient on Dvotespercent in the regression of petpooled
      2,096092.09609288581686350,1599410.159941210317151171,78135 – 2,41084
      Diagnósticos
      • n_obs = 303303 (observations used)
      • k = 22 (parameters estimated, fixed-effect dummies included)
      • r2 = 0,3537770.35377698421228865
      • df_resid = 301301
      • se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
      • n_clusters = — (errors not clustered)
      Derivação matemática e pressupostos
      coef.Dvotespercent
      1. Coeficiente de Dvotespercent na regressão por mínimos quadrados ordinários de petpooled.→ 2,09609 (2.0960928858168635)
      2. Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.ep = √V_jj→ 0,159941 (0.15994121031715117)
      3. Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 301 graus de liberdade vezes o erro-padrão.IC = β ± c · ep
      Pressupostos do estimador
      • the conditional mean of the outcome is linear in the regressors
      • errors are independent across observations; their variance may differ
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": -0.4008228984843071,
            "ci_low": -0.7432595792784554,
            "coef": -0.5720412388813813,
            "p": 2.1506608262862913e-10,
            "se": 0.08700664786383226,
            "t": -6.574684267535983,
            "term": "Intercept"
          },
          {
            "ci_high": 2.4108374399854147,
            "ci_low": 1.7813483316483123,
            "coef": 2.0960928858168635,
            "p": 2.3534382579330522e-31,
            "se": 0.15994121031715117,
            "t": 13.105395924292882,
            "term": "Dvotespercent"
          }
        ]
      }
      • 12 rows were dropped because one of 'petpooled', 'Dvotespercent' was missing
      Hashes SHA-256 e metadados de reprodução
      Digests dos dados
      ds_0084 5aeb031ddaf2fede78265be6f0fa1adffd5ff0557ac97464854bab4bac361bf4
      sha256 do resultado
      51ad4f1a08738c91e58c167602d3e02993a3c044b7fb78a3d6766d682e4e138a
    4. 3Turno do modelo
      call_179a682enaive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Estimativa ingênua (infer.ols): coef.Dvotespercent = 2,096.",
          "caveats": [],
          "figure_refs": [
            "call_9ec85880:coef.Dvotespercent"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      2,096
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.Dvotespercent = 2,096.

      Figuras citadas: call_9ec85880:coef.Dvotespercent · Parada: answered
      Figura da resposta: call_9ec85880:coef.Dvotespercent = 2,096092.0960928858168635 (se 0,1599410.15994121031715117)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória2.096092886 in [0.4484057356, 1.125505716]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada2.096092886 vs 0.7869557257379252
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.1599412103 vs 0.17272958682164383

    Épocas × verificações

    Resultado de cada verificação em cada época pontuada
    #0123
    Época 1passoufalhoufalhoufalhou

    Tentativas

    Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

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