{"id":"W4411578413","doi":"10.4000/146w9","title":"Le tutorat pour les marges : réagir aux incertitudes et aux inégalités dans le système éducatif indien","year":2025,"lang":"fr","type":"article","venue":"Revue internationale d éducation de Sèvres","topic":"Global Education Systems and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Physics; Philosophy; Humanities","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004099425,0.0003142552,0.0003796908,0.001272842,0.007262881,0.006984597,0.001169578,0.0016428,0.01933531],"category_scores_gemma":[0.01202544,0.0002557403,0.0003074258,0.001004033,0.006523191,0.004032827,0.007058587,0.002120422,0.002296969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01139263,"about_ca_system_score_gemma":0.0117427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909533,"about_ca_topic_score_gemma":0.05709613,"domain_scores_codex":[0.9949505,0.002754644,0.0001346065,0.000528708,0.000712987,0.0009185071],"domain_scores_gemma":[0.9916232,0.002802674,0.0009714612,0.0005584062,0.001390241,0.002653915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002767306,0.0002965849,0.1539743,0.0004664591,0.00007105947,0.001017871,0.3393825,0.001205049,0.002050361,0.3131297,0.01497764,0.1731518],"study_design_scores_gemma":[0.00006470666,0.0004715207,0.1311118,0.001080081,0.0001235805,0.0007828719,0.2523159,0.002213253,0.00202984,0.04611675,0.5635496,0.0001400811],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657704,0.002966198,0.01302148,0.02745688,0.0002981,0.0001069647,0.000162374,0.000223261,0.1899944],"genre_scores_gemma":[0.9659446,0.0004213109,0.001576678,0.0007047675,0.00003335077,0.00004010421,0.00003486867,0.00003598726,0.03120828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02909533,"threshold_uncertainty_score":0.08265978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07382189326698226,"score_gpt":0.393502389722605,"score_spread":0.3196804964556227,"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."}}