{"id":"W4387158423","doi":"","title":"Du Québec à la France : auto-ethnographie de la discrimination raciale dans les interactions médiatisées entre hommes","year":2022,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":[0.001408885,0.0004950626,0.0003343634,0.002962757,0.01320857,0.004157006,0.0008331065,0.001484708,0.005364846],"category_scores_gemma":[0.003130699,0.0003398309,0.0002517137,0.004683376,0.00376135,0.001910003,0.001675346,0.002047877,0.0003194575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02654346,"about_ca_system_score_gemma":0.0182818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9773087,"about_ca_topic_score_gemma":0.9872882,"domain_scores_codex":[0.9987539,0.000604983,0.00003449988,0.0001222518,0.0001644466,0.0003199448],"domain_scores_gemma":[0.9969613,0.0013866,0.0002755104,0.00007051803,0.0009053136,0.0004008292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000837616,0.00008336626,0.04664034,0.0001360197,0.00002682278,0.001161617,0.9279271,0.0000888076,0.001122924,0.002943513,0.004234889,0.01555081],"study_design_scores_gemma":[0.000008540943,0.00004549879,0.1676452,0.0002092627,0.000025533,0.0002424293,0.784098,0.0001367248,0.0002864093,0.0001285452,0.04714334,0.00003051474],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97865,0.002339998,0.0003606439,0.002725503,0.00008094017,0.00005710951,0.0006189615,0.00001021409,0.01515657],"genre_scores_gemma":[0.9838256,0.001768829,0.0002777444,0.0007729775,0.00004040119,0.00008517848,0.0002316065,0.00001712181,0.01298053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02654346,"threshold_uncertainty_score":0.1925872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368739597922568,"score_gpt":0.3338310368130122,"score_spread":0.2901436408337865,"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."}}