{"id":"W7081932780","doi":"10.18162/fp.2025.a338","title":"Entre impartialité et défense des droits de la personne : traiter les thèmes sensibles en classe","year":2025,"lang":"fr","type":"article","venue":"Formation et profession","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Government (linguistics); Context (archaeology); Perspective (graphical); Class (philosophy); Human rights","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":[0.008755642,0.0003831515,0.0004241976,0.002364704,0.008116912,0.008025353,0.001117918,0.002349847,0.003544086],"category_scores_gemma":[0.01473795,0.0002054652,0.0003466916,0.001698537,0.03107117,0.007005686,0.006768215,0.005641277,0.0002919752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004650523,"about_ca_system_score_gemma":0.005316548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568197,"about_ca_topic_score_gemma":0.01769754,"domain_scores_codex":[0.9916838,0.005041808,0.0002605662,0.0005347495,0.001399923,0.001079095],"domain_scores_gemma":[0.9847862,0.008261936,0.002084402,0.0007469054,0.00179418,0.002326464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004667378,0.00006079808,0.01356468,0.0001305209,0.00001419743,0.00020747,0.8694535,0.00005776748,0.0004467922,0.08743543,0.003408927,0.02517319],"study_design_scores_gemma":[0.000008306765,0.00007264166,0.02606983,0.0003499554,0.0000108474,0.0003123792,0.8588948,0.00008512245,0.0002253572,0.02655342,0.08737517,0.00004215937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5867838,0.01149993,0.01105283,0.1409033,0.001621837,0.0001349695,0.0001503499,0.00007661157,0.2477762],"genre_scores_gemma":[0.9906131,0.000822545,0.0004977081,0.001535276,0.0001138296,0.00003627562,0.00001586842,0.00001575515,0.006349604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568197,"threshold_uncertainty_score":0.04630482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843587534462824,"score_gpt":0.3055709681211095,"score_spread":0.2871350927764812,"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."}}