{"id":"W1586773167","doi":"10.7202/1027816ar","title":"La domestication de l’Autre ou la fabrication de l’« immigrant parfait »","year":2014,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Immigration; Ethnology; Political science; Philosophy; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808858,0.0001351069,0.0001748574,0.00009189655,0.0007150563,0.0001123635,0.0002814987,0.0002540429,0.0003987411],"category_scores_gemma":[0.0004379808,0.0001575991,0.00009088298,0.000412187,0.0003430735,0.0002991831,0.00005072721,0.0001936133,0.0003023033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847387,"about_ca_system_score_gemma":0.0002535936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343557,"about_ca_topic_score_gemma":0.008930157,"domain_scores_codex":[0.997985,0.0007945071,0.0002065887,0.0002618924,0.0003219021,0.0004300942],"domain_scores_gemma":[0.9988053,0.0003665921,0.0001719014,0.0002026491,0.0001859429,0.0002675664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002168127,0.0002334043,0.2117146,0.0001487749,0.00003278137,0.000006673833,0.07420548,0.00003352521,0.00003810524,0.6534669,0.03637043,0.02372765],"study_design_scores_gemma":[0.0005112845,0.00006823525,0.583988,0.00006246716,0.0001811801,0.000007307037,0.0035771,0.00411828,0.00002600023,0.02944097,0.3777877,0.0002315211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6926029,0.007359248,0.0611866,0.0940892,0.001593383,0.0007319564,0.000120929,0.0002940578,0.1420217],"genre_scores_gemma":[0.9734499,0.00331261,0.0006283121,0.0004568968,0.0007151977,0.000007617522,0.00006027057,0.00001133441,0.02135779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6240259,"threshold_uncertainty_score":0.9830675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680391089000761,"score_gpt":0.2802867483212294,"score_spread":0.2634828374312218,"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."}}