{"id":"W1582815643","doi":"10.7202/038471ar","title":"Comment éviter la politique du blâme et les instruments punitifs ? Une analyse comparée des politiques québécoise et terre-neuvienne de lutte contre la pauvreté et l’exclusion sociale","year":2009,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.003752894,0.0005814629,0.0005852719,0.001447911,0.006737075,0.007448789,0.0009889313,0.001650067,0.008390247],"category_scores_gemma":[0.004266972,0.0002266432,0.0004012067,0.00243368,0.01304087,0.003830185,0.002409163,0.002946685,0.0003730267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03689604,"about_ca_system_score_gemma":0.04924166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7731959,"about_ca_topic_score_gemma":0.8869107,"domain_scores_codex":[0.9964568,0.001110595,0.00005881814,0.0003796708,0.0008703968,0.001123723],"domain_scores_gemma":[0.9972132,0.001021398,0.0003029654,0.0001546469,0.0009377066,0.0003700194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008439195,0.00006224939,0.02184711,0.000330359,0.00009633369,0.0001464754,0.05867493,0.001671135,0.0009105465,0.8675158,0.004026277,0.04463444],"study_design_scores_gemma":[0.00009497418,0.0001694348,0.1698541,0.002233026,0.0002438191,0.0001514369,0.2058472,0.002082694,0.002671836,0.1684895,0.4479504,0.0002116195],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3632329,0.01053872,0.01328094,0.05899924,0.0002448866,0.0001673313,0.0003599549,0.00007287297,0.5531031],"genre_scores_gemma":[0.9637182,0.002586707,0.00191948,0.002665425,0.00002608709,0.00008410204,0.00008775613,0.00003643753,0.02887577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2268041,"threshold_uncertainty_score":0.4562795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452780147861663,"score_gpt":0.3541823823424304,"score_spread":0.3196545808638138,"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."}}