{"id":"W4410955010","doi":"10.7202/1117900ar","title":"« N’oublie pas d’où tu viens ». La socialisation à l’attachement familial et transnational de descendant.es d’immigré.es malien.nes","year":2024,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descendant; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223767,0.0002002974,0.0001588016,0.0007882535,0.003489985,0.002404488,0.0003510922,0.0006180454,0.01004769],"category_scores_gemma":[0.002833516,0.0001351656,0.000158898,0.0008989855,0.002050659,0.001914057,0.001683548,0.0007684434,0.0006080382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617845,"about_ca_system_score_gemma":0.002060248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05776972,"about_ca_topic_score_gemma":0.08594556,"domain_scores_codex":[0.9991263,0.0004162845,0.00002807667,0.000144482,0.0001572534,0.0001276018],"domain_scores_gemma":[0.9987724,0.0003642313,0.0003331979,0.00009160539,0.0002658295,0.0001726188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001040396,0.0001091027,0.250547,0.0003410747,0.00005464385,0.001250402,0.4610273,0.0001717289,0.002189137,0.1168469,0.01054794,0.1568107],"study_design_scores_gemma":[0.00001108004,0.0001398143,0.4176957,0.0003747581,0.0000419885,0.0009101181,0.2972578,0.0002071058,0.0007403959,0.005977656,0.2765959,0.00004762402],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880994,0.003095371,0.00210883,0.006913846,0.0001935134,0.00005150513,0.0003251309,0.00001762623,0.09919471],"genre_scores_gemma":[0.9705194,0.001339806,0.0007662364,0.0006627389,0.0000431555,0.00005308227,0.0001149613,0.000009953149,0.02649055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05776972,"threshold_uncertainty_score":0.1148669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610357196330616,"score_gpt":0.3827274143500602,"score_spread":0.3366238423867541,"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."}}