{"id":"W4206754084","doi":"10.1177/01979183211035725","title":"National Cultural Frames and Muslims’ Economic Incorporation: A Comparison of France and Canada","year":2022,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"Research Executive Agency; Social Sciences and Humanities Research Council of Canada; European Commission","keywords":"Disadvantage; Immigration; Demographic economics; Affect (linguistics); Welfare; Cohabitation; Citizenship; Earnings; Multiculturalism; Sociology; Economics; Labour economics; Political science; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007820775,0.0002809415,0.0003627685,0.00195305,0.00262549,0.001903122,0.0007071684,0.0003355756,0.003300226],"category_scores_gemma":[0.001464802,0.0001599723,0.0006956317,0.002694702,0.0007609794,0.0004326166,0.001506395,0.0004998744,0.0001808789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02242755,"about_ca_system_score_gemma":0.0171516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913947,"about_ca_topic_score_gemma":0.9943295,"domain_scores_codex":[0.9995506,0.00005861781,0.0000139689,0.00006270831,0.000104343,0.0002096398],"domain_scores_gemma":[0.9991097,0.000124774,0.000160593,0.00003823765,0.0002821141,0.000284543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002075705,0.00008361577,0.960774,0.00004894258,0.0001436617,0.0002646934,0.005873387,0.0008639052,0.0002869306,0.003216719,0.001532129,0.02670443],"study_design_scores_gemma":[0.000007887664,0.00002345782,0.9892703,0.00005813656,0.00002373746,0.00005088996,0.005983804,0.0008815163,0.00007992657,0.0001194246,0.003477942,0.00002286443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994442,0.000598899,0.00009166024,0.0003609767,0.000006867331,0.00001051787,0.001100513,0.000008413115,0.00337999],"genre_scores_gemma":[0.9970062,0.0005246795,0.0001543116,0.00005865312,0.000002868625,0.000007419779,0.0008803353,0.000006207917,0.00135929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02242755,"threshold_uncertainty_score":0.162724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086191519405923,"score_gpt":0.3348483482066792,"score_spread":0.31398643301262,"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."}}