{"id":"W2044144618","doi":"10.3917/pp.021.0027","title":"Métissage et interculturel : une approche à partir de la transaction","year":2009,"lang":"fr","type":"article","venue":"Pensée plurielle","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Database transaction; Political science; Sociology; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00580281,0.0008833189,0.0009094831,0.003078305,0.004569147,0.01532394,0.003677299,0.005915214,0.01552822],"category_scores_gemma":[0.00942908,0.0007313302,0.001521016,0.003839872,0.02156926,0.02075006,0.00659023,0.004943802,0.001783168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005585008,"about_ca_system_score_gemma":0.004639522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006343387,"about_ca_topic_score_gemma":0.007147261,"domain_scores_codex":[0.9936317,0.003968655,0.0002675403,0.0008442734,0.0008950115,0.0003928764],"domain_scores_gemma":[0.993779,0.003167415,0.000436196,0.001353014,0.0008970145,0.0003673437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002184589,0.00001398299,0.0003938147,0.00006867905,0.00001215441,0.0001680245,0.00582898,0.0005890602,0.0001455934,0.9827302,0.001061053,0.008966716],"study_design_scores_gemma":[0.00001980171,0.00004636513,0.0007184621,0.0004053605,0.00005164764,0.0006096102,0.008200116,0.007792016,0.0003790473,0.8053401,0.1763983,0.0000392336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02992693,0.0103466,0.553483,0.04468942,0.001504752,0.0003206129,0.0002014789,0.0003083996,0.3592188],"genre_scores_gemma":[0.77504,0.006289622,0.1660465,0.003745243,0.001128473,0.0006430133,0.0002384417,0.0002499131,0.04661882],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01552822,"threshold_uncertainty_score":0.05194712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09867117304815572,"score_gpt":0.4227103496986051,"score_spread":0.3240391766504494,"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."}}