{"id":"W2944088035","doi":"","title":"2017. 03. 006. Инг Э. , Блэмраад И. SWOT-анализ мультикультурализма в Канаде, Европе, Республике Маврикий и Южной Корее. Ng E. , bloemraad I. A SWOT analysis of multiculturalism in Canada, Europe, Mauritius, and South Korea // American behavioral scientist. - Beverly Hills (Ca), 2015. - Vol. 59, n 6. - p. 619-636","year":2017,"lang":"ru","type":"article","venue":"Социальные и гуманитарные науки. Отечественная и зарубежная литература. Сер. 11, Социология: Реферативный журнал","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Multiculturalism; Geography; Political science; Management; Law; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001332688,0.0007419484,0.0004757958,0.001102305,0.0008218423,0.003580702,0.001105885,0.001405813,0.5906891],"category_scores_gemma":[0.003893441,0.0004583806,0.0004876806,0.001614638,0.0009294682,0.002423394,0.001693074,0.001587842,0.4624884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023726,"about_ca_system_score_gemma":0.002136757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194217,"about_ca_topic_score_gemma":0.003593797,"domain_scores_codex":[0.9994528,0.00008428765,0.00005031328,0.00008714138,0.0002013735,0.0001241135],"domain_scores_gemma":[0.9982475,0.0004732386,0.0003071805,0.0001395147,0.0003701038,0.0004624767],"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":[0.0005044282,0.0002602322,0.005363048,0.001176842,0.00005449904,0.0003664432,0.0008452257,0.0001466757,0.0004837259,0.01201368,0.2630342,0.7157509],"study_design_scores_gemma":[0.0001194715,0.0001453275,0.01897752,0.002354219,0.00006691364,0.001963136,0.002318731,0.0004849615,0.0007530962,0.01677241,0.9559934,0.00005081534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01909751,0.03331625,0.009670649,0.02631321,0.008638084,0.0004582114,0.02208535,0.003251788,0.877169],"genre_scores_gemma":[0.1483962,0.027705,0.02148947,0.004983558,0.00204363,0.0005876212,0.01673315,0.001916483,0.7761448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9948058,"threshold_uncertainty_score":0.5838323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388068757466434,"score_gpt":0.289823053952779,"score_spread":0.2510161782061355,"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."}}