{"id":"W2809652991","doi":"10.7202/1047976ar","title":"Identifications et rapports entre majoritaires et minoritaires. Discours de jeunes issus de l’immigration","year":2018,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Sociology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004669227,0.0004227667,0.000486643,0.00258742,0.0142644,0.005234659,0.001386041,0.001183089,0.008609156],"category_scores_gemma":[0.01651902,0.0004259745,0.0003073215,0.002457687,0.006852469,0.002391726,0.004669074,0.001903685,0.0005849573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158149,"about_ca_system_score_gemma":0.01328804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6954003,"about_ca_topic_score_gemma":0.8294004,"domain_scores_codex":[0.9954708,0.001367155,0.0001712274,0.0005859547,0.001076055,0.001328758],"domain_scores_gemma":[0.9855053,0.004946656,0.003346566,0.0005510215,0.003240977,0.002409487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006589284,0.00003574236,0.1600577,0.0001496669,0.00003548708,0.0005006181,0.813582,0.00004385024,0.0005931685,0.006537692,0.001653218,0.01674507],"study_design_scores_gemma":[0.000004723498,0.00004526304,0.2546151,0.0002304547,0.00002736661,0.0001943316,0.7177617,0.00006252414,0.000295443,0.0004999263,0.02622296,0.00004017892],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758105,0.001560483,0.0003982227,0.002219661,0.00007056666,0.00004215327,0.0001578239,0.000008542415,0.01973195],"genre_scores_gemma":[0.9829246,0.0006161076,0.0002398606,0.0003629256,0.00001662422,0.00003601794,0.0000836758,0.000008588084,0.01571164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045997,"threshold_uncertainty_score":0.6127871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151224017967762,"score_gpt":0.2507996175335273,"score_spread":0.2392873773538497,"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."}}