{"id":"W7133078801","doi":"","title":"Explaining Multiculturalism's Survival: Electoral Outcomes, Policy Design, and Veto Players","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Veto; Ideology; Multiculturalism; Politics; Status quo; Opposition (politics)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.01048345,0.0002383578,0.00039643,0.001445441,0.003828628,0.006439363,0.0008976647,0.001664478,0.01044397],"category_scores_gemma":[0.02419142,0.0002759034,0.0003383781,0.001261736,0.004999706,0.003119771,0.004582237,0.001827965,0.0007892313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918146,"about_ca_system_score_gemma":0.002393143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246335,"about_ca_topic_score_gemma":0.00650586,"domain_scores_codex":[0.9946935,0.00264362,0.0001836748,0.00040849,0.0004716613,0.001599101],"domain_scores_gemma":[0.9821666,0.008681276,0.004314567,0.001258419,0.001223999,0.002355072],"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":[0.0004617592,0.000583246,0.3989507,0.0003423361,0.000109849,0.001202461,0.03051759,0.005804887,0.0007915063,0.4531046,0.005504753,0.1026263],"study_design_scores_gemma":[0.000181654,0.0006067695,0.2534758,0.0004672748,0.00009302991,0.0006655009,0.109768,0.02593641,0.002920527,0.5547008,0.05107556,0.0001086913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158434,0.0003913607,0.006731297,0.008418585,0.0000671071,0.00008449124,0.0000989984,0.00002836425,0.06833637],"genre_scores_gemma":[0.9976506,0.00005530964,0.0004872801,0.0001115266,0.00001504023,0.00001837615,0.00001582899,0.000007143617,0.001639106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048345,"threshold_uncertainty_score":0.05544239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0898852921865822,"score_gpt":0.4612325615591665,"score_spread":0.3713472693725843,"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."}}