Pular para o conteúdo

Tarefa crb_papers.q029

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T170957Z-suite-crb_papers-baseline-dae0c1

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, nenhuma estimativa citada.
no answer figure: the answer cites no effect of an estimator call

Pergunta feita ao analista

For municipalities that first moved to council-based naturalization decisions in 2006 or 2009, how much did ordinary naturalization rates change from 1991 to 2009 relative to municipalities that never changed their local decision regime?

Resposta

Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.

Valores esperados e de onde vêm

crb_papers.q029.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 29 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['29'].effect and .standard_error
Trecho
index 29: effect 0.815272, standard_error 0.463921
Valor como publicado
0.8152716551072032
Erro-padrão como publicado
0.46392069651186174
Valor
0,8152720.8152716551072032 (se 0,4639210.46392069651186174)
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: 0,8152720.8152716551072032 · relativa 0.000001 · absoluta 4.639206965118617e-7
  • #3 figura da resposta próxima: 0,4639210.46392069651186174 · relativa 0.000001 · absoluta 4.639206965118617e-7

crb_papers.q029.script

Fonte
CausalReasoningBenchmark reference estimation script for index 29
Tipo
software
Localização
solutions/research_papers/DiD/Hainmueller_Hangartner_2019/question_2/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 2682 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
955cfba911624072407f79e3af23c1c990807c4b0c1e7edd0bddf277996c439d (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/DiD/Hainmueller_Hangartner_2019/question_2/estimation.py
Licença
MIT

    Verificações

    Cada verificação, o que esperava, o que observou e a chamada que leu
    #VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
    0resposta com lastro
    every number backed
    obrigatóriapassou—[]———
    1figura da resposta próxima
    no answer figure: the answer cites no effect of an estimator call
    obrigatóriafalhou[-0.09401291005604573,1.7245562202704523]—interval · [-0.09401291005604573, 1.7245562202704523]——
    2figura da resposta próxima
    no answer figure: the answer cites no effect of an estimator call
    registradafalhou0,8152720.8152716551072032—relativa 0.000001 · absoluta 4.639206965118617e-7crb_papers.q029.gold—
    3figura da resposta próxima
    no answer figure: the answer cites no effect of an estimator call
    registradafalhou0,4639210.46392069651186174—relativa 0.000001 · absoluta 4.639206965118617e-7crb_papers.q029.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

    Referência: infer.olsO agente não fez uma chamada de estimação que a resposta cite.

    Trajetória

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

    1. 0Início

      For municipalities that first moved to council-based naturalization decisions in 2006 or 2009, how much did ordinary naturalization rates change from 1991 to 2009 relative to municipalities that never changed their local decision regime?

      ds_0015 (agent)

      | Variable Name | Description | | --- | --- | | bfs | Swiss Federal Statistical Office (BFS) municipality code: a stable numeric identifier for each municipality in the panel. | | year | Calendar year of the observation (1991–2009). Institutional status is referenced as of January 1 of the given year, and annual rates are computed for the same year. | | nat_rate_ord | Ordinary naturalization rate (percent). Computed as the number of ordinary naturalizations recorded during the year divided by the stock of foreign residents who met statutory eligibility at the start of the year in the same municipality, multiplied by 100. Ordinary naturalizations refer to the standard pathway (as opposed to federally handled “facilitated” cases). | | indirect | Local decision procedure in place on January 1: 1 if applications were decided by the elected municipal council (representative/indirect democracy); 0 if applications were decided by citizens in a local vote (direct democracy). | Dataset Context: This dataset is an annual municipality–year panel for Switzerland that spans a period of institutional change in how local authorities decide on citizenship applications. Switzerland’s “triple citizenship” system assigns a central role to municipalities in evaluating and deciding ordinary naturalization requests. During the 1990s and 2000s, municipalities used different decision procedures: in some, citizens voted on applications (often at a citizens’ assembly and, historically in a few places, by ballot); in others, elected municipal councils rendered the decisions. A series of Swiss Federal Court rulings in 2003–2005 curtailed secret-ballot referendums for naturalizations and required municipalities to provide formal justifications for rejections. Several cantons subsequently updated their laws, and many municipalities revised or formalized their procedures, frequently shifting decision authority to municipal councils. The indicator in this file captures, for each municipality and year, which procedure was in force as of January 1. The panel combines two types of information. First, administrative registers from the Swiss Federal Statistical Office (PETRA: Foreign Population Structure and Migration Statistics) are used to derive annual ordinary naturalization rates. These rates are constructed as ordinary naturalizations completed within a year divided by the number of foreign residents who met the legal eligibility criteria at the start of that year, providing a comparable percentage measure across municipalities and over time. Second, the coding of local decision procedures relies on a nationwide survey of municipal head secretaries and systematic compilation of cantonal regulations and court decisions. The measurement convention aligns the institutional status to January 1 to enhance comparability across municipalities, recognizing that formal switches may occur during a calendar year. Ordinary naturalizations represent the standard route to citizenship and, in the study period, typically occurred after lengthy processing that could extend several years from initial application to final local vote. Facilitated naturalizations—handled centrally under federal law (for example, for certain spouses of Swiss citizens)—are not included in the numerator of the ordinary naturalization rate. The resulting dataset provides a consistent view of local institutions and annual naturalization activity across more than a decade and a half, covering the pre- and post-reform environment in which many municipalities updated their decision-making arrangements.

      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      ref_first (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"indirect == 1"}
      4. collapse {"aggs":[{"column":"year","fn":"min","name":"sw"}],"by":["bfs"]}
      ref_max (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. collapse {"aggs":[{"column":"indirect","fn":"max","name":"imax"}],"by":["bfs"]}
      ref_panel (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"year in [1991, 2009]"}
      4. merge {"how":"left","on":["bfs"],"with":"ref_first"}
      5. merge {"how":"left","on":["bfs"],"with":"ref_years"}
      6. merge {"how":"left","on":["bfs"],"with":"ref_max"}
      7. filter {"query":"nyears == 2 and (sw in [2006, 2009] or imax == 0)"}
      8. derive {"args":{"cmp":"in","column":"sw","value":[2006,2009]},"name":"group_treated","op":"indicator"}
      9. derive {"args":{"column":"group_treated","default":0,"keep_unmapped":false,"mapping":[{"source":1,"target":1}]},"name":"group_treated","op":"map"}
      10. derive {"args":{"cmp":"eq","column":"year","value":2009},"name":"post","op":"indicator"}
      11. derive {"args":{"columns":["group_treated","post"]},"name":"g_post","op":"interaction"}
      ref_years (reference)
      file e9ce75e30cb08926da17f27cb91ecb80f964f077f9a592e052d672b61239e8f9 · frame —
      1. select {"columns":["bfs","year","nat_rate_ord","indirect"]}
      2. dropna {"columns":["bfs","year","nat_rate_ord"]}
      3. filter {"query":"year in [1991, 2009]"}
      4. collapse {"aggs":[{"column":"nat_rate_ord","fn":"count","name":"n"}],"by":["bfs","year"]}
      5. collapse {"aggs":[{"column":"n","fn":"count","name":"nyears"}],"by":["bfs"]}
    2. 1Turno do modelo
      call_6f1801b5rules-1Fim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.",
          "caveats": [],
          "figure_refs": []
        }
    3. 2Guarda
      resposta aceita
      Números encontrados
      —
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    4. 3Resposta

      Pelas regras deste roteador não identifiquei um desenho que responda à pergunta; nenhuma estimativa foi feita.

      Figuras citadas: — · Parada: answered
    5. 4Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    6. 5Pontuação
      #1figura da resposta próximafalhouobrigatóriano answer figure: the answer cites no effect of an estimator call
    7. 6Pontuação
      #2figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call
    8. 7Pontuação
      #3figura da resposta próximafalhouregistradano answer figure: the answer cites no effect of an estimator call

    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.

    Downloads desta tarefa

    Pacote da tarefa (.zip)
    86,0 KB · sha256 3a0dbee52c5f2df2d0d560d810964d688bf61db7f66d72e123cb7268ed237592

    O 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.

    Downloads desta tarefa
    ArquivoTamanhosha256
    attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json2,4 KB433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420
    attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json64,0 KB52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b
    attachments/ac821c3fbb7e05706730310d7db246231e0542d663343675913b2e891dcfd4c6.json3,9 KBac821c3fbb7e05706730310d7db246231e0542d663343675913b2e891dcfd4c6
    attachments/b763982490f14f7d4da6abcd9f9be3c600b416dcff742c43dc4ac4cb3bc1e946.json262 Bb763982490f14f7d4da6abcd9f9be3c600b416dcff742c43dc4ac4cb3bc1e946
    native/crb_papers/crb_papers.q029.e1.a1.json2,7 KBee790e082d2505563f9af895c356e6137c473d226334fb3eec92a2c6b6c5b8d2
    sources/crb_papers.q029.gold.json1,1 KBbce1df1065ec0e5e0dc2afc737ef182d9f8e8d50c0389af068c362e42bdf29d6
    sources/crb_papers.q029.script.json1,1 KB857dd3a35793e8d32f16f7d696cf8ae99f09331a5ed32a07c94ec56d1056dede
    specs/crb_papers.q029.json13,1 KB395acb3f438bca4dd6398caec6719c2c4e177fbf5108d139ed572f2082120fda
    traces/crb_papers.q029.e1.a1.jsonl9,5 KB896fecbee64c94e0ddb2a9c3a8b9aa30960d2ec107fa923b5cc80a78e62ef25d
    trajectories/crb_papers.q029.e1.a1.jsonl10,8 KBb2a8fb0c9808105612995f712c082c790c8e9fa16aeda80c542313f242a9e6c1