{"id":"W2782623765","doi":"10.7202/1042807ar","title":"Des brèches dans le mur : inégalités sociales, sociologie et savoirs d’expérience","year":2018,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; History of sociology; Sociology; Philosophy; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005607858,0.0006489432,0.0006784755,0.001365901,0.008619752,0.01225356,0.001296391,0.003442351,0.007209136],"category_scores_gemma":[0.01026129,0.0003480731,0.0003852208,0.0009820084,0.04411716,0.01278762,0.007612546,0.005748772,0.0009944324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004776706,"about_ca_system_score_gemma":0.003062923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008174352,"about_ca_topic_score_gemma":0.009572853,"domain_scores_codex":[0.9885294,0.008736407,0.0001827404,0.0006893708,0.001194632,0.0006674001],"domain_scores_gemma":[0.9941878,0.003328124,0.0006320487,0.0006068298,0.0006212139,0.0006238897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004108217,0.00002242277,0.001429369,0.0001042252,0.000008775926,0.0004943922,0.5769444,0.0000699807,0.0003568598,0.4055102,0.003729991,0.01128826],"study_design_scores_gemma":[0.00001300594,0.00008691478,0.003076075,0.0004633408,0.00001168633,0.0007964579,0.4813432,0.0002356259,0.0004011642,0.1038718,0.4096512,0.00004951631],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3399761,0.03219921,0.01695186,0.1122501,0.00270475,0.00008462518,0.0001004397,0.0001269444,0.4956059],"genre_scores_gemma":[0.9575303,0.003098431,0.001001093,0.002268893,0.0003632796,0.00003810201,0.00001765849,0.0000483112,0.03563397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01225356,"threshold_uncertainty_score":0.03465754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5025261397099657,"score_gpt":0.5164770686751833,"score_spread":0.01395092896521755,"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."}}