{"id":"W2443549945","doi":"10.1177/0002764215588816","title":"Disrupting the Mantra of Multiculturalism","year":2015,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multiculturalism; Rhetoric; Mantra; Sociology; Harassment; Constructive; Hostility; Gender studies; Aesthetics; Political science; Criminology; Environmental ethics; Law; Social psychology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006180904,0.00006923243,0.0001086663,0.0000322598,0.0004316428,0.0001136511,0.0002711041,0.00002170544,0.00006525571],"category_scores_gemma":[0.0001211443,0.00004279439,0.00005681386,0.0005530686,0.001440934,0.0002586571,0.00002529038,0.00006588584,0.00002639445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008390365,"about_ca_system_score_gemma":0.00009647881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05300706,"about_ca_topic_score_gemma":0.037008,"domain_scores_codex":[0.9987899,0.0001506572,0.0001836042,0.0001513113,0.0005090482,0.0002154463],"domain_scores_gemma":[0.9992802,0.00002512265,0.00018418,0.0001462139,0.0002405383,0.0001238002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003515746,0.0005889675,0.1509412,0.000006787777,0.00001739171,0.000009157186,0.5514231,0.00003616812,0.01321457,0.05845292,0.04820311,0.1770715],"study_design_scores_gemma":[0.0005369628,0.0004109264,0.1327418,0.00003846998,0.0001131178,0.000006733154,0.3179211,0.0003342049,0.002403059,0.0003582311,0.5446087,0.0005266892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949138,0.00003564229,0.00009191749,0.0007137012,0.0004267286,0.000163668,0.00001003851,0.00003362214,0.003610894],"genre_scores_gemma":[0.9967807,0.00001098939,0.0006095815,0.0000665573,0.0001223237,0.000009475702,0.00001198311,0.000004026076,0.00238438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4964056,"threshold_uncertainty_score":0.9805641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997096796237017,"score_gpt":0.3983838559067887,"score_spread":0.3384128879444185,"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."}}