{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003413844,0.0001647911,0.0003422367,0.00008735278,0.0007103943,0.00003876002,0.0001617827,0.00006804554,0.0001442842],"category_scores_gemma":[0.0003866871,0.0001146842,0.0000957738,0.0003903665,0.001120604,0.0005443139,0.00003176429,0.00008031906,0.0001097722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119628,"about_ca_system_score_gemma":0.0000467696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032273,"about_ca_topic_score_gemma":0.07817446,"domain_scores_codex":[0.9985014,0.0003124516,0.0004232177,0.0002317746,0.000339784,0.0001913443],"domain_scores_gemma":[0.9974948,0.0001483574,0.0002543977,0.0001368363,0.001910265,0.00005532394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002390024,0.00004398633,0.0006318463,0.000008466948,0.0001046274,1.519977e-7,0.9087037,0.000003573096,0.004344666,0.02056159,0.06513199,0.0004414381],"study_design_scores_gemma":[0.0003858774,0.000245189,0.004561074,0.0001253635,0.00005631144,7.346982e-7,0.5800868,0.0003025524,0.03276746,0.00139313,0.3797575,0.0003180026],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860318,0.002493989,0.0005753835,0.001482497,0.0007109136,0.0003997818,0.00001108329,0.00008737744,0.008207174],"genre_scores_gemma":[0.9933845,0.0009828884,0.0007520363,0.0001443328,0.0006019887,0.00004210753,0.00002487583,0.000004475574,0.004062766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286169,"threshold_uncertainty_score":0.9386464,"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."}}