Tarefa causcibench_real.q118

Veredito

Pergunta feita ao analista

Do people consider that the skin color of hispanic people is darker when the person presented is a woman?

Valores esperados e de onde vêm

Verificações

Caminho de referência e caminho do agente

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

Trajetória

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

1. 0Início

   Do people consider that the skin color of hispanic people is darker when the person presented is a woman?

   garcia_colored_perceptions (agent)

   The present study is based on an original survey experiment that tests whether assessments of others’ skin color are affected by a subtle racial cue, a name. Random assignment achieved a fairly uniform distribution of subjects across conditions, with 2,783 unique ratings of faces assigned Hispanic names and 2,817 unique ratings of faces assigned non-Hispanic names. Because each subject rated pictures with both Hispanic and non-Hispanic names, subject characteristics were necessarily balanced across experimental conditions. Variables: - id: Respondent’s unique ID number - imageno: Unique image number, from the FEI face database - hispanicimage: Was the image presented with a distinctively Hispanic name or a distinctively non-Hispanic name? (1 = Distinctively Hispanic name, NOT INCLUDED IN DATASET) - femaleimage: Does the person in the image present as male or female? (1 = Female, 0 = Male) - hispanicimagexfemaleimage: Interaction between hispanicimage and femaleimage - namepair: To which pair of names was the image attached? (""a"" = Catalina/Catherine, ""b"" = Juana/Joann, ""c"" = Margarita/Margaret. ""d"" = Carlota/Charlotte, ""e"" = Daniela/Daniella, ""f"" = Juan/John, ""g"" = Pedro/Peter, ""h"" = Ricardo/Richard, ""i"" = Pablo/Paul, ""j"" = Jose/Joe) - color: Skin color rating of image (1 = Lightest; 11 = Darkest) - gender: Respondent's gender (1 = Male; 2 = Female) - age: Respondent's age - hispanic: Respondent's identification as Hispanic/Latino(a) (1 = Yes; 2 = No) - race: Respondent's racial identification (1 = White, 2 = Black/African-American; 3 = American Indian or Alaska Native; 4 = Asian or Pacific Islander; 5 = Some other race) - educ: Respondent's educational attainment (1 = Less than high school; 2 = High school/GED; 3 = Some college; 4 = 2-year college degree (Associate’s); 5 = 4-year college degree (BA, BS); 6 = Graduate or professional degree) - hhinc: Respondent's household inome from all sources (1 = Less than $10,000; 2 = $10,000- $19,999; 3 = $20,000-$29,999; 4 = $30,000-$39,999; 5 = $40,000-$49,999; 6 = $50,000-$59,999; 7 = $60,000- $69,999; 8 = $70,000-$79,999; 9 = $80,000-$89,999; 10 = $90,000-$99,999; 11 = $100,000-$149,999; 12 = More than $150,000; 13 = Rather not say) - born: Respondent's country of birth - region: Respondent's US Census region of residence (1 = Northeast; 2 = Midwest; 3 = South; 4 = West; 5 = Rather not say) - rs_color: Respondent's self-rated skin color (1 = Lightest; 11 = Darkest)

   file c9d403a8c02120d4b354d4b751a93273ecdfa2b55563238a0fa253796951e0e5 · frame —

   garcia_colored_perceptions_ref (reference)

   file c9d403a8c02120d4b354d4b751a93273ecdfa2b55563238a0fa253796951e0e5 · frame —

   1. derive {"args":{"columns":["femaleimage","hispanicname"]},"name":"femaleimage_x_hispanicname","op":"interaction"}
2. 1Transformação
   garcia_colored_perceptions_ref · derive {"args":{"columns":["femaleimage","hispanicname"]},"name":"femaleimage_x_hispanicname","op":"interaction"}

   5600 → 5600 linhas

   Frame antes → depois: 7e9b99044805 → bfede1383591
3. 2Turno do modelo
   call_76bd3861referenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Texto visível

   causcibench_metadata_rule/1: ols

   Chamadas pedidas

   • infer.ols

     {
       "controls": [
         "femaleimage",
         "hispanicname",
         "rs_color",
         "age",
         "gender",
         "race",
         "hhinc",
         "educ",
         "region",
         "hispanic",
         "born"
       ],
       "dataset": "garcia_colored_perceptions_ref",
       "x": [
         "femaleimage_x_hispanicname"
       ],
       "y": "color"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
4. 3Ferramenta
   infer.olsv0.1.0call_c088d088decidido pelo modeloreexecutável

   Motivo: causcibench_metadata_rule/1: ols

   Argumentos

   {
     "cluster": null,
     "controls": [
       "femaleimage",
       "hispanicname",
       "rs_color",
       "age",
       "gender",
       "race",
       "hhinc",
       "educ",
       "region",
       "hispanic",
       "born"
     ],
     "dataset": "garcia_colored_perceptions_ref",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "femaleimage_x_hispanicname"
     ],
     "y": "color"
   }

   Figuras call_c088d088

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.femaleimage_x_hispanicname Coefficient on femaleimage_x_hispanicname in the regression of color	0,144101	0.14410083690549091	0,07735630.07735629741777642	-0,00754757 – 0,295749

   Diagnósticos

   • n_obs = 5.6005600
   • k = 1313
   • r2 = 0,09645180.09645179541549964
   • df_resid = 5.5875587
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 3.893335914630548,
         "ci_low": 3.079573341289158,
         "coef": 3.486454627959853,
         "p": 8.121749696210072e-62,
         "se": 0.2075513344427406,
         "t": 16.798035229793708,
         "term": "Intercept"
       },
       {
         "ci_high": 0.2957492467311051,
         "ci_low": -0.007547572920123258,
         "coef": 0.14410083690549091,
         "p": 0.06254007584372823,
         "se": 0.07735629741777642,
         "t": 1.862819727878763,
         "term": "femaleimage_x_hispanicname"
       },
       {
         "ci_high": -0.783797733598111,
         "ci_low": -0.9973616866917441,
         "coef": -0.8905797101449275,
         "p": 9.879749821023862e-59,
         "se": 0.05446979856968054,
         "t": -16.349972526622302,
         "term": "femaleimage"
       },
       {
         "ci_high": 0.1063900155462285,
         "ci_low": -0.12433651175972198,
         "coef": -0.00897324810674674,
         "p": 0.8788107006824506,
         "se": 0.05884713822246482,
         "t": -0.15248401838717135,
         "term": "hispanicname"
       },
       {
         "ci_high": 0.08869124178567286,
         "ci_low": 0.03888933840139164,
         "coef": 0.06379029009353225,
         "p": 5.271188519987459e-7,
         "se": 0.01270204829248107,
         "t": 5.022047517430136,
         "term": "rs_color"
       },
       {
         "ci_high": -0.0418339356860952,
         "ci_low": -0.08181245719954992,
         "coef": -0.06182319644282256,
         "p": 1.4224221348636577e-9,
         "se": 0.010196580379820847,
         "t": -6.06313039665449,
         "term": "age"
       },
       {
         "ci_high": 0.009624683045120153,
         "ci_low": -0.14548425560922193,
         "coef": -0.06792978628205089,
         "p": 0.08601631211136644,
         "se": 0.03956076164761172,
         "t": -1.717100062105397,
         "term": "gender"
       },
       {
         "ci_high": -0.09173187426981519,
         "ci_low": -0.16470772498963474,
         "coef": -0.12821979962972496,
         "p": 6.242500362000085e-12,
         "se": 0.018612597451859735,
         "t": -6.888871903094508,
         "term": "race"
       },
       {
         "ci_high": 0.048125613155083735,
         "ci_low": 0.024920539574846926,
         "coef": 0.03652307636496533,
         "p": 7.262452690487826e-10,
         "se": 0.005918487953610543,
         "t": 6.171014734039395,
         "term": "hhinc"
       },
       {
         "ci_high": 0.006865986706554625,
         "ci_low": -0.05850540626183788,
         "coef": -0.025819709777641628,
         "p": 0.12153750940257342,
         "se": 0.016673069380985936,
         "t": -1.5485876767889284,
         "term": "educ"
       },
       {
         "ci_high": 0.07848847444735611,
         "ci_low": 0.006904606150421114,
         "coef": 0.04269654029888861,
         "p": 0.019392965228341354,
         "se": 0.01825757029915567,
         "t": 2.338566391874341,
         "term": "region"
       },
       {
         "ci_high": 0.2894260742144333,
         "ci_low": -0.02207784068441182,
         "coef": 0.13367411676501073,
         "p": 0.09252710997993319,
         "se": 0.07944952906339908,
         "t": 1.6825035760544478,
         "term": "hispanic"
       },
       {
         "ci_high": 0.5465991635965926,
         "ci_low": 0.18093311294535713,
         "coef": 0.36376613827097487,
         "p": 0.00009715859873659921,
         "se": 0.09326366099812188,
         "t": 3.900405949947647,
         "term": "born"
       }
     ]
   }

   Digests dos dados

   garcia_colored_perceptions_ref bfede1383591da85f0213d702c5c1eaecbd34ca11112017984fbb698e29efd18

   sha256 do resultado

   75c9436b4b1df454855f6cd294f37b4ebc81af438b42b01e44a5ab3a29b85b76

   Resultado mostrado ao modelo
5. 4Turno do modelo
   call_e04ca68freferenceFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache

   Chamadas pedidas

   • submit_answer (meta-ferramenta)

     {
       "answer": "Estimativa (infer.ols): coef.femaleimage_x_hispanicname = 0,1441.",
       "caveats": [],
       "figure_refs": [
         "call_c088d088:coef.femaleimage_x_hispanicname"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
6. 5Guarda
   resposta aceita

   Números encontrados

   0,1441

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
7. 6Resposta

   Estimativa (infer.ols): coef.femaleimage_x_hispanicname = 0,1441.

   Figuras citadas: call_c088d088:coef.femaleimage_x_hispanicname · Parada: answered

   Figura da resposta: call_c088d088:coef.femaleimage_x_hispanicname = 0,1441010.14410083690549091 (se 0,07735630.07735629741777642)
8. 7Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
9. 8Pontuação
   #1figura da resposta próximapassouobrigatória0.1441008369 vs 0.148

Épocas × verificações

Tentativas

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

• época 1, tentativa 1passoupontuada(exibindo)

Downloads desta tarefa