{"id":"W4414195670","doi":"10.7202/1119507ar","title":"Les experts de la bureaucratie migratoire : les intermédiaires de la migration guatémaltèque au Québec","year":2025,"lang":"fr","type":"article","venue":"Politique et Sociétés","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Deportation; Force majeure; Qualitative analysis","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":[0.002032129,0.0002629769,0.000286354,0.001404588,0.01205668,0.003858036,0.0006252594,0.0008171129,0.01132666],"category_scores_gemma":[0.003687853,0.0002078074,0.0001339978,0.001789047,0.005056989,0.00162814,0.002991116,0.001560694,0.0005022905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02874083,"about_ca_system_score_gemma":0.03460235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8843551,"about_ca_topic_score_gemma":0.9540141,"domain_scores_codex":[0.9985511,0.0004330344,0.00003281936,0.0001230511,0.0002238454,0.0006361517],"domain_scores_gemma":[0.9976168,0.0005613255,0.0004451131,0.00007323136,0.0006335169,0.0006700521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000103693,0.00006843088,0.1632027,0.0002980194,0.00002611187,0.001062256,0.7286793,0.0002888697,0.001129796,0.03817626,0.01594703,0.05101751],"study_design_scores_gemma":[0.00000942481,0.00003813413,0.2235656,0.0005310068,0.00002398193,0.0001258626,0.6623956,0.0002424467,0.0001827529,0.001224086,0.1116289,0.00003220932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440732,0.001603288,0.000395155,0.01673985,0.00006373654,0.00004031711,0.0001702016,0.00001271969,0.03690148],"genre_scores_gemma":[0.9805092,0.001141274,0.0001608667,0.001010033,0.00002573205,0.00002533717,0.00006952796,0.000008980292,0.01704907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1156449,"threshold_uncertainty_score":0.2326518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607486934734489,"score_gpt":0.4696347714511562,"score_spread":0.4135599021038113,"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."}}