{"id":"W4378379343","doi":"10.1515/9781553395409-014","title":"Does Everyone Cheer? The Politics of Immigration and Multiculturalism in a Canada","year":2019,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Immigration; Politics; Political science; Gender studies; Sociology; 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":[0.001985972,0.0003815466,0.0005493456,0.001088314,0.05639229,0.01586324,0.001728938,0.005007112,0.01097344],"category_scores_gemma":[0.003362729,0.000457873,0.0003922304,0.002895684,0.01924642,0.002976444,0.005030461,0.009068049,0.0005697024],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1419632,"about_ca_system_score_gemma":0.2817657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959461,"about_ca_topic_score_gemma":0.9986903,"domain_scores_codex":[0.9956592,0.0005093252,0.00003706623,0.0002074748,0.0008499791,0.002737037],"domain_scores_gemma":[0.9973257,0.0004903695,0.00008986657,0.00005258725,0.0005619018,0.001479667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007824042,0.00008342719,0.008111046,0.0000892888,0.00003180531,0.001034713,0.09239723,0.0004196281,0.0004265198,0.6524129,0.2048474,0.04006784],"study_design_scores_gemma":[0.00003872922,0.00002571264,0.02104461,0.0003845244,0.00004106118,0.0002026124,0.2103943,0.0005131818,0.0002166086,0.02678843,0.7402111,0.0001390295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1324021,0.01949799,0.0003351684,0.2013832,0.001426659,0.00005470068,0.0001618141,0.00003393328,0.6447044],"genre_scores_gemma":[0.7160505,0.007291399,0.000357317,0.02490176,0.0001767522,0.00003321155,0.00004246854,0.00006648486,0.2510801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1419632,"threshold_uncertainty_score":0.9952011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00971633340974275,"score_gpt":0.2041368160832976,"score_spread":0.1944204826735548,"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."}}