{"id":"W2532483807","doi":"","title":"Le cri de Djemila Benhabib. Djemila Benhabib (préface de Boualem Sansal), Après Charlie. Laïques de tous les pays, mobilisez-vous !, Québec, Septentrion, 2016, 304 pagesDjemila Benhabib (préface de Boualem Sansal), Après Charlie. Laïques de tous les pays, mobilisez-vous !, Québec, Septentrion, 2016, 304 pages","year":2016,"lang":"fr","type":"article","venue":"˜Les œcahiers de lecture de l'Action nationale","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Philosophy","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":[0.001657367,0.001330082,0.001093993,0.00151799,0.005018061,0.004414018,0.001013564,0.002064147,0.1536211],"category_scores_gemma":[0.003141108,0.0005886542,0.0004026243,0.001713412,0.001154195,0.002756554,0.001990142,0.004073252,0.04383547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01573168,"about_ca_system_score_gemma":0.008938432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3976437,"about_ca_topic_score_gemma":0.5098157,"domain_scores_codex":[0.9991961,0.0001347042,0.00003846495,0.0001625827,0.0003145739,0.0001536056],"domain_scores_gemma":[0.9971686,0.0002645969,0.000125634,0.00005673854,0.001517892,0.0008665462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001624696,0.000005586418,0.00008501046,0.00007628483,0.000001500464,0.00002277827,0.00009925999,0.00001603984,0.00006064627,0.0003798674,0.9891047,0.01013206],"study_design_scores_gemma":[0.000005099246,0.000006246839,0.001055517,0.0001824353,0.000002174753,0.00006948688,0.0004036769,0.00003155699,0.00005830666,0.0001348481,0.998041,0.00000967666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001570056,0.4427469,0.0007740453,0.2189619,0.219623,0.000119764,0.001812322,0.0004899917,0.1139021],"genre_scores_gemma":[0.01796838,0.1136044,0.0006472121,0.03080722,0.03064536,0.000115215,0.00119886,0.0004668233,0.8045466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3976437,"threshold_uncertainty_score":0.7906584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761311871455904,"score_gpt":0.2975275193433656,"score_spread":0.2599144006288066,"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."}}