{"id":"W2043318057","doi":"10.1353/ces.2013.0010","title":"The Intersecting Dynamics of Social Exclusion: Age, Gender, Race and Immigrant Status in Canada’s Labour Market","year":2013,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social exclusion; Immigration; Earnings; Demographic economics; Odds; Sociology; Race (biology); Descriptive statistics; Logistic regression; Economics; Economic growth; Political science; Gender studies","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.00241259,0.0002906467,0.0004437211,0.002761176,0.007386864,0.003784219,0.00150736,0.0004727943,0.002576062],"category_scores_gemma":[0.005246046,0.0002318214,0.0006518877,0.005741271,0.003123135,0.001002398,0.003069608,0.0008704619,0.0001610741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03888501,"about_ca_system_score_gemma":0.07571115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961796,"about_ca_topic_score_gemma":0.9981895,"domain_scores_codex":[0.9980422,0.0002581254,0.00007894003,0.0002032765,0.0006780999,0.000739418],"domain_scores_gemma":[0.9963474,0.0006893105,0.0007872045,0.0001213928,0.00120875,0.0008459507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000862517,0.00003296186,0.954249,0.00008137328,0.00006524077,0.0001637132,0.02338897,0.0003352461,0.000174394,0.002379338,0.001856895,0.01718649],"study_design_scores_gemma":[0.00000273804,0.00001163294,0.9693843,0.0001217996,0.00002870529,0.00003158721,0.02610934,0.0004886352,0.00006728432,0.000269753,0.003458732,0.00002561689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888062,0.001456015,0.0002793859,0.001759225,0.00001783539,0.0000316095,0.00116214,0.000007431855,0.006480214],"genre_scores_gemma":[0.9969884,0.0007778437,0.0002629817,0.0001227064,0.000008015484,0.00001685827,0.0004581048,0.000005405268,0.001359816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03888501,"threshold_uncertainty_score":0.2821319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09593515125539907,"score_gpt":0.3959150688166757,"score_spread":0.2999799175612766,"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."}}