{"id":"W2806406034","doi":"10.1186/s40878-018-0079-1","title":"War of words: interculturalism v. multiculturalism","year":2018,"lang":"en","type":"article","venue":"Comparative Migration Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interculturalism; Vision; Multiculturalism; Ideology; Diversity (politics); Aesthetics; Political science; Sociology; Philosophy; Law; Politics; Anthropology","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":[0.003156469,0.0008162537,0.0007346159,0.002108738,0.006664779,0.008741387,0.001493538,0.004685826,0.01096521],"category_scores_gemma":[0.005587219,0.0001883522,0.0003015027,0.003606936,0.03804965,0.01291091,0.006523027,0.008269639,0.001447358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007412018,"about_ca_system_score_gemma":0.00558812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507866,"about_ca_topic_score_gemma":0.01925105,"domain_scores_codex":[0.9949062,0.00310929,0.0001501557,0.0004339636,0.0008195304,0.0005809146],"domain_scores_gemma":[0.9965299,0.001685023,0.0004393014,0.0002978864,0.000594453,0.0004534966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002520745,0.00001435512,0.0004804367,0.0001956701,0.000008475336,0.0001244877,0.01674988,0.00005783672,0.0001483457,0.9500591,0.017213,0.01492313],"study_design_scores_gemma":[0.0000181398,0.00004984781,0.002235948,0.001189384,0.00001377148,0.0004813574,0.04812044,0.0001712236,0.0002085046,0.3211808,0.6263042,0.0000263359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02221462,0.1642453,0.01028764,0.3322726,0.01082936,0.00005824792,0.0001480525,0.00005725033,0.459887],"genre_scores_gemma":[0.8044776,0.04973533,0.002952446,0.06776784,0.01258003,0.0002269668,0.0001035609,0.0001209954,0.06203534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02507866,"threshold_uncertainty_score":0.05377817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586530353766421,"score_gpt":0.4398236975389152,"score_spread":0.2811706621622731,"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."}}