Tarefa crb_papers.q074
crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T170957Z-suite-crb_papers-baseline-dae0c1Veredito
no answer figure: the answer cites no effect of an estimator callPergunta feita ao analista
What is the causal effect of municipal civil service reform adoption on the share of blue-collar municipal government jobs held by native-born white workers, estimated for municipalities whose adoption was externally induced (local compliers)?
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Valores esperados e de onde vêm
crb_papers.q074.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 74 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['74'].effect and .standard_error
- Trecho
index 74: effect -0.168896, standard_error 0.098381
- Valor como publicado
-0.16889570857702552- Erro-padrão como publicado
0.09838104012319736- Valor
- -0,168896
-0.16889570857702552(se 0,0983810.09838104012319736) - 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: -0,168896
-0.16889570857702552· relativa 0.000001 · absoluta 9.838104012319735e-8 - #3 figura da resposta próxima: 0,098381
0.09838104012319736· relativa 0.000001 · absoluta 9.838104012319735e-8
crb_papers.q074.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 74
- Tipo
- software
- Localização
- solutions/research_papers/IV/Kuipers2022/question/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 591 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
21c133a31b59ed07fbd06a9a87e7c4efe65cc45c4938fe5b8c85abd5f5dc76e3(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/IV/Kuipers2022/question/estimation.py- Licença
- MIT
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | obrigatória | falhou | [-0.36172254721849234,0.02393113006444131] | — | interval · [-0.36172254721849234, 0.02393113006444131] | — | — |
| 2 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | registrada | falhou | -0,168896-0.16889570857702552 | — | relativa 0.000001 · absoluta 9.838104012319735e-8 | crb_papers.q074.gold | — |
| 3 | figura da resposta próxima no answer figure: the answer cites no effect of an estimator call | registrada | falhou | 0,0983810.09838104012319736 | — | relativa 0.000001 · absoluta 9.838104012319735e-8 | crb_papers.q074.gold | — |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
caminho de referência do item · benchmark_script
Pendências do caminho de referência: needs_op:iv_se_hc0
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
What is the causal effect of municipal civil service reform adoption on the share of blue-collar municipal government jobs held by native-born white workers, estimated for municipalities whose adoption was externally induced (local compliers)?
ds_0044(agent)| Variable Name | Description | |----------------|---------------------------------------------------------------------------------------------| | Unnamed/Index | Row identifier / index column carried over from the source CSV (sequence number). | | city | Municipality name and state (lowercase string, e.g., "akron, oh"). | | YEAR | Census year (decennial year) for the observation (numeric). | | occ | Occupation class for municipal employment (e.g., "blue_collar", "white_collar", "police"). | | name | Demographic group label combining race and nativity (e.g., "white_x_native_born"). | | govt | Proportion (share) of municipal government jobs in this city–year–occupation held by group. | | pop | Proportion (share) of the municipality's total population comprised by the named group. | | treat_assign | Binary indicator whether a statewide legislative mandate applied to the municipality that decade (0/1). | | treat_actual | Binary indicator whether the municipality had the municipal civil service commission in effect that decade (0/1). | | bandwidth | Numeric distance in residents between the municipality's population and the state cutoff used in assignment rules. | Data Description: This dataset is a municipality-by-decade panel that links full-count U.S. decennial census records (1850–1940) on municipal employment and population composition with administrative indicators derived from state statutes and municipal surveys. Each observation identifies a city and census year, an occupation class, and a demographic group, and reports group shares in the municipal population and in the local government workforce; the file also includes binary flags recording whether a state-level mandate applied and whether a municipal civil service commission was in place, plus a numeric distance-from-cutoff measure used for threshold-based comparisons. The underlying sources include full-count census enumerations (industry/occupation and birthplace fields), historical surveys of municipal civil service adoption, and compiled state session-law information assembled to create a harmonized longitudinal dataset on municipal staff composition.
filed5035ee26421d944dd396fa22c1f412e72a32f59388ef130ad486a3c851a813b· frame —ref_iv(reference)filed5035ee26421d944dd396fa22c1f412e72a32f59388ef130ad486a3c851a813b· frame —filter{"query":"occ == 'blue_collar' and name == 'white_x_native_born'"}select{"columns":["govt","treat_actual","treat_assign","pop","YEAR","city"]}dropna{"columns":["govt","treat_actual","treat_assign","pop","YEAR","city"]}dummies{"column":"YEAR","drop_first":true,"prefix":"YEAR"}dummies{"column":"city","drop_first":true,"prefix":"city"}
- 1Turno do modelo
call_28a64bfcrules-1Fim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.", "caveats": [], "figure_refs": [] }
- 2Guardaresposta aceita
- Números encontrados
- —
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 3Resposta
Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.
Figuras citadas:—· Parada:answered - 4Pontuação#0resposta com lastropassouobrigatória
every number backed - 5Pontuação#1figura da resposta próximafalhouobrigatória
no answer figure: the answer cites no effect of an estimator call - 6Pontuação#2figura da resposta próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call - 7Pontuação#3figura da resposta próximafalhouregistrada
no answer figure: the answer cites no effect of an estimator call
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | falhou | falhou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1falhoupontuada(exibindo)
Downloads desta tarefa
4fb780bcb05b0c00832da7d52fa83ac9ff8e8866d3cc94b29b4c97cb17e68163O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
| Arquivo | Tamanho | sha256 |
|---|---|---|
| attachments/3cd6d0361e36ea0ca3ad9caef752058bb923038e1baab70b1b2b0e4a21e23709.json | 268 B | 3cd6d0361e36ea0ca3ad9caef752058bb923038e1baab70b1b2b0e4a21e23709 |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
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| native/crb_papers/crb_papers.q074.e1.a1.json | 2,7 KB | 688a0930bba4793084f4833d12b5ea6dbaf8c06af02620e7667d442102b88e72 |
| sources/crb_papers.q074.gold.json | 1,1 KB | 00d2e9a718250a9b32b755e7ca6688623b5aebd744128a326df42fecd4822f1e |
| sources/crb_papers.q074.script.json | 1,1 KB | 0a9553d97fcdb029cd8406b02dbf462b402e1a60b61ad3217230acba4abab018 |
| specs/crb_papers.q074.json | 22,2 KB | c34219b8aa9595071fae1232f2af4919c9aaf06dc623116c1e56d21fd5ce22fc |
| traces/crb_papers.q074.e1.a1.jsonl | 8,5 KB | 369838a58ac309dea6462dbebeb58c17afeb2e8738096493f293380ec55e977a |
| trajectories/crb_papers.q074.e1.a1.jsonl | 7,7 KB | 53b1da4a5567b18a20b4e3a3d32a91147db4bd398b285991cd87a27307f5bc58 |