{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469488,0.0004870783,0.0005323392,0.002913372,0.006481572,0.002593281,0.001498626,0.0004918447,0.004230698],"category_scores_gemma":[0.00368933,0.0002118492,0.000703897,0.004470088,0.002162356,0.0007301115,0.002696248,0.0008932286,0.0002648881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02146884,"about_ca_system_score_gemma":0.03237321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938971,"about_ca_topic_score_gemma":0.9973773,"domain_scores_codex":[0.998451,0.0001747329,0.00004683346,0.000150291,0.0004563742,0.0007208216],"domain_scores_gemma":[0.9979965,0.0003204238,0.0003666554,0.00008870355,0.0005794517,0.0006481164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001673568,0.000066464,0.9703233,0.0000431272,0.00008147837,0.0001741444,0.01108681,0.0002608616,0.0003846999,0.00285313,0.0009861342,0.01357259],"study_design_scores_gemma":[0.000005836889,0.00001740537,0.9804422,0.00005907927,0.0000350219,0.00002785562,0.01635527,0.0007190642,0.00008763258,0.0002185313,0.00201509,0.0000169222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933402,0.0004817322,0.0001213312,0.0005671873,0.000009498673,0.0000210294,0.0004445447,0.000003014893,0.005011446],"genre_scores_gemma":[0.9983157,0.0002438233,0.0001041692,0.00005003166,0.000003918191,0.000006165115,0.0002482811,0.000003416435,0.001024452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02146884,"threshold_uncertainty_score":0.1557681,"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."}}