{"id":"W2592191325","doi":"","title":"Benefitting from popular culture through education in enhancing social cohesion in multicultural Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); Multiculturalism; Sociology; Multicultural education; Political science; Pedagogy","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":[0.001842996,0.0002316321,0.0002787577,0.0006942059,0.01459263,0.004687628,0.001496463,0.00079696,0.006001072],"category_scores_gemma":[0.005753205,0.0001669879,0.0003043346,0.00124343,0.002576676,0.001078506,0.00475692,0.001871118,0.0002073974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04901433,"about_ca_system_score_gemma":0.1882166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9808381,"about_ca_topic_score_gemma":0.9954129,"domain_scores_codex":[0.9980682,0.0004475236,0.00003937297,0.000118121,0.0003769225,0.0009499145],"domain_scores_gemma":[0.9943115,0.0005042119,0.0001440818,0.0001022388,0.001074235,0.00386372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001137625,0.004274704,0.2431326,0.0007213941,0.0002341073,0.001183954,0.1805769,0.002296101,0.002885524,0.04235573,0.03870692,0.4824944],"study_design_scores_gemma":[0.0003970238,0.0007038721,0.428904,0.0008807657,0.0005984579,0.0002199772,0.3740183,0.002376482,0.003555147,0.009138959,0.1789901,0.0002169625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392632,0.0007403484,0.0003033878,0.01137807,0.0001223302,0.00008386114,0.0001105577,0.00002591874,0.04797224],"genre_scores_gemma":[0.9934984,0.0004182349,0.0004065453,0.0005370749,0.00001024803,0.00002048593,0.00002984266,0.000009367753,0.005069715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04901433,"threshold_uncertainty_score":0.3556255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684230539016339,"score_gpt":0.323070847102079,"score_spread":0.3062285417119156,"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."}}