{"id":"W2096986854","doi":"10.7202/037916ar","title":"Ne pas se sentir discriminé : une analyse des parcours atypiques au croisement d’une analyse micro et macro1","year":2009,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002817063,0.0001933031,0.0003346249,0.001352491,0.002604183,0.002163817,0.0005726787,0.0004292504,0.003625769],"category_scores_gemma":[0.006312848,0.0001751223,0.0001776145,0.002018539,0.003530222,0.001972601,0.002401386,0.0006684656,0.0002928667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286701,"about_ca_system_score_gemma":0.001752432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04162389,"about_ca_topic_score_gemma":0.06882222,"domain_scores_codex":[0.9986445,0.0005756082,0.00005140899,0.000208883,0.0002676321,0.0002519822],"domain_scores_gemma":[0.9957404,0.001772927,0.001160092,0.0003921574,0.0006483878,0.0002860762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001842036,0.00005506156,0.477945,0.0002261186,0.00005978238,0.0006754276,0.4534781,0.0001293845,0.002040414,0.01301937,0.0009317602,0.05125542],"study_design_scores_gemma":[0.00000411325,0.0001031554,0.7917199,0.0001550705,0.00004027748,0.0003231276,0.1849543,0.0002730502,0.0006377508,0.002634503,0.01913072,0.00002398211],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933271,0.0005507597,0.0006180653,0.0005307714,0.00001368875,0.00001232695,0.00005242514,0.0000030883,0.00489171],"genre_scores_gemma":[0.9981264,0.0001936354,0.000244911,0.00005983223,0.000008036382,0.00001048682,0.00002530517,0.000004019737,0.001327256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04162389,"threshold_uncertainty_score":0.0827632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5294371713644987,"score_gpt":0.5699369031502187,"score_spread":0.04049973178571997,"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."}}