{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.002887752,0.003806895,0.005927544,0.001999575,0.00562345,0.003110499,0.00645178,0.00108109,0.005398838],"category_scores_gemma":[0.003520768,0.002734527,0.001562934,0.01123127,0.007049567,0.003799067,0.003883974,0.002370385,0.0005316183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381291,"about_ca_system_score_gemma":0.003536497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8160684,"about_ca_topic_score_gemma":0.9142032,"domain_scores_codex":[0.9774753,0.001263392,0.005571411,0.005783476,0.004855158,0.005051264],"domain_scores_gemma":[0.9797585,0.001484037,0.006695776,0.00343523,0.006475935,0.002150519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000837282,0.005463283,0.7470791,0.0007326101,0.005277869,0.001130223,0.01114194,0.001037995,0.00835778,0.002624635,0.1989341,0.01738317],"study_design_scores_gemma":[0.003160121,0.0009615378,0.9028131,0.0009513042,0.004579723,0.00009848096,0.01705972,0.001655774,0.0006951223,0.0001733731,0.0632283,0.004623444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580879,0.00379696,0.00000866416,0.007834841,0.00592433,0.003468405,0.0164338,0.0002931997,0.004151862],"genre_scores_gemma":[0.973924,0.001834215,0.001179614,0.001130022,0.001863553,0.0005568644,0.003865678,0.0001507778,0.01549522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557339,"threshold_uncertainty_score":0.9999312,"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."}}