{"id":"W2901440112","doi":"10.1016/j.rssm.2018.11.006","title":"Muslim women in the Canadian labor market: Between ethnic exclusion and religious discrimination","year":2018,"lang":"en","type":"article","venue":"Research in Social Stratification and Mobility","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Disadvantage; Racism; Unemployment; Ethnic group; Inequality; Educational attainment; Sociology; White (mutation); Human capital; Position (finance); Demographic economics; Gender studies; Labour economics; Economics; Political science; Economic growth; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009492091,0.00006775835,0.0001225898,0.0001419914,0.00202401,0.00002641871,0.0001091287,0.0001292583,0.00005428414],"category_scores_gemma":[0.0004281532,0.00005140886,0.000008982929,0.0004428208,0.0004733655,0.00007839845,0.00005304539,0.0005127036,0.000006247974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936594,"about_ca_system_score_gemma":0.0003440265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08000369,"about_ca_topic_score_gemma":0.5941156,"domain_scores_codex":[0.9967259,0.001953884,0.0002735839,0.0002414734,0.0002948942,0.0005102276],"domain_scores_gemma":[0.9988246,0.0006622146,0.00004292956,0.0001413486,0.0002203943,0.0001084904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005524518,0.00008477427,0.5412903,0.0001906086,0.000006872673,0.000001489524,0.4082231,1.325597e-8,0.00009578912,0.003876871,0.004797156,0.04137778],"study_design_scores_gemma":[0.0002238417,0.00005262554,0.9023795,0.00002259979,0.000001285047,3.900118e-8,0.0749079,0.00000715958,0.000004421136,0.02029296,0.002061493,0.00004621051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637062,0.00008864779,0.000001732099,0.02198344,0.00003397546,0.001052664,0.00002616883,0.000009342245,0.0130978],"genre_scores_gemma":[0.9985782,0.0003212286,0.000002828372,0.0001559125,0.0002288915,0.0004134524,0.00001807149,0.000004927602,0.0002764935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5141119,"threshold_uncertainty_score":0.9992752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2677159245258364,"score_gpt":0.5360051558225557,"score_spread":0.2682892312967193,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}