{"id":"W7160422285","doi":"10.7202/1124892ar","title":"Fabrique, usages et effets des catégories migratoires internationales","year":2025,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Context (archaeology); Population; Public policy; Legislation; Ethnic group","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":[0.007694268,0.000566208,0.0007707683,0.003309178,0.001068756,0.00232593,0.0007149786,0.001183882,0.01229298],"category_scores_gemma":[0.0374345,0.0002050689,0.0009998507,0.003736877,0.001432543,0.002103609,0.002003215,0.001378977,0.0008689446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477793,"about_ca_system_score_gemma":0.001213745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024496,"about_ca_topic_score_gemma":0.01828956,"domain_scores_codex":[0.9946834,0.003504716,0.000183549,0.0004474873,0.0008261119,0.000354681],"domain_scores_gemma":[0.9699206,0.02326522,0.002940952,0.0008768006,0.001983258,0.001013089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003456248,0.0004864833,0.6280556,0.002280242,0.001103871,0.0002656996,0.07347743,0.0003416312,0.001206633,0.01080717,0.009910791,0.2686083],"study_design_scores_gemma":[0.0000991798,0.0006500609,0.9200415,0.001408535,0.0005209904,0.0002787166,0.03763468,0.0002711584,0.0004455128,0.004042401,0.0345539,0.00005322795],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936352,0.03201799,0.0009980497,0.004568571,0.0002542578,0.00009690543,0.001969303,0.00004422321,0.0236987],"genre_scores_gemma":[0.9814129,0.008273046,0.0008500051,0.0004699133,0.0001402636,0.0002147986,0.0006944874,0.00003606864,0.007908463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.024496,"threshold_uncertainty_score":0.04870683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03966952387116072,"score_gpt":0.3985348532111691,"score_spread":0.3588653293400084,"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."}}