{"id":"W3139232191","doi":"10.1515/9781553395409-012","title":"Is There a Tradeoff Between Ethnic Diversity and Redistribution? The Case of Income Assistance in Canada","year":2019,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration; Generosity; Welfare; Redistribution (election); Demographic economics; Ethnic group; Diversity (politics); Cultural diversity; Public opinion; Political science; Social Welfare; Welfare reform; Social policy; Development economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001587545,0.0003751851,0.0007679899,0.001665382,0.02440561,0.007677869,0.00209004,0.00296825,0.01083409],"category_scores_gemma":[0.003766018,0.0003123167,0.0006369377,0.004853478,0.007284121,0.002134702,0.003704688,0.003460196,0.0003940625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1223448,"about_ca_system_score_gemma":0.1574448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970112,"about_ca_topic_score_gemma":0.9988457,"domain_scores_codex":[0.9963428,0.0003370981,0.00003352929,0.0001605814,0.0005937425,0.002532197],"domain_scores_gemma":[0.9984364,0.0002566013,0.00006865915,0.00006302862,0.0005464344,0.000628806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001623797,0.00006749437,0.01498344,0.00009653775,0.00007848725,0.001153779,0.01572475,0.001732123,0.0002985103,0.8615522,0.06567031,0.03847994],"study_design_scores_gemma":[0.0002933808,0.00007815385,0.1002323,0.0007508436,0.0002923078,0.0007620293,0.1120093,0.003727431,0.0008564266,0.1547893,0.6259773,0.0002311353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2682282,0.007440756,0.0008015989,0.07151865,0.0002652125,0.00009040652,0.0006007579,0.00004137964,0.6510131],"genre_scores_gemma":[0.8810698,0.00275949,0.0005924032,0.004267292,0.00005810888,0.00003284076,0.00008267968,0.00002708121,0.1111103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1223448,"threshold_uncertainty_score":0.8876776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844914130022788,"score_gpt":0.2598294773250482,"score_spread":0.2213803360248203,"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."}}