{"id":"W2944206410","doi":"10.1177/1468796819847750","title":"Visible minorities in the Canadian Labour Market: Disentangling the effect of religion and ethnicity","year":2019,"lang":"en","type":"article","venue":"Ethnicities","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Islamophobia; Socioeconomic status; Visibility; Demographic economics; Inequality; Distribution (mathematics); Sociology; Islam; Hierarchy; Immigration; Diversity (politics); Political science; Gender studies; Economics; Geography; Demography; Population; 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":[],"consensus_categories":[],"category_scores_codex":[0.001685687,0.00006644815,0.0001073504,0.00006201439,0.0002726574,0.0001034461,0.0001981313,0.0000694733,0.0001057712],"category_scores_gemma":[0.0001912162,0.00003864395,0.00003065019,0.000230277,0.0002697773,0.0001338184,0.00001632745,0.0001602117,0.000003998683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006205377,"about_ca_system_score_gemma":0.0001130208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5574725,"about_ca_topic_score_gemma":0.9782583,"domain_scores_codex":[0.998741,0.0006242437,0.0001202927,0.0000891712,0.0002423417,0.0001829756],"domain_scores_gemma":[0.9990731,0.0006729549,0.00004500147,0.0001340998,0.0000385504,0.00003630208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000483026,0.000008400424,0.4455594,0.0001260747,0.00001518561,0.000003971441,0.2902746,0.00007816419,0.0000382799,0.2574736,0.004852689,0.001521278],"study_design_scores_gemma":[0.001390099,0.0004884516,0.410893,0.000339214,0.00006630353,0.000004498212,0.3537971,0.003699342,0.0003866334,0.01076234,0.2175291,0.0006439266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577717,0.0009235839,7.907688e-7,0.003417996,0.0001517739,0.0002778742,0.00001267297,0.000009391431,0.0374342],"genre_scores_gemma":[0.9912812,0.0005867296,0.000005486013,0.0005186464,0.00005505176,0.00000888341,0.000001714389,0.00000430977,0.007537982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4207858,"threshold_uncertainty_score":0.4454744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00877700693848302,"score_gpt":0.2766666101888819,"score_spread":0.2678896032503989,"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."}}