{"id":"W2465868025","doi":"10.3406/homig.2008.4710","title":"Les travailleurs migrants au Canada. \"Racialisation\", genre et flexibilité","year":2008,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004623778,0.0002490167,0.0002796051,0.00004192386,0.002999376,0.00008136809,0.0004474891,0.0002062156,0.000882738],"category_scores_gemma":[0.0003358874,0.0002603325,0.0001727406,0.001077739,0.001259665,0.00058259,0.00003538002,0.000246644,0.00007151624],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009136614,"about_ca_system_score_gemma":0.00701731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966351,"about_ca_topic_score_gemma":0.9995834,"domain_scores_codex":[0.9970546,0.0004119666,0.0004365488,0.0004533012,0.0009348379,0.0007087701],"domain_scores_gemma":[0.9986387,0.0003376008,0.0002498737,0.0002726418,0.00018474,0.0003164228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006871183,0.0001871258,0.09728922,0.00001473003,0.00003872492,0.00002545965,0.154463,0.000237415,0.00002240256,0.06865634,0.6374779,0.04158082],"study_design_scores_gemma":[0.0001503299,0.00002749139,0.3015575,0.00003213959,0.00002787033,0.000006607832,0.02544989,0.0000853411,0.00001770127,0.0005129633,0.6718585,0.0002736472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859943,0.04423709,0.000175706,0.06898349,0.002946022,0.0003711435,0.0004851849,0.00006517742,0.0227932],"genre_scores_gemma":[0.8758788,0.001877722,0.000234621,0.001512537,0.0009855629,0.0000313756,0.00003248405,0.00001602461,0.1194309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2042683,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06745955260977425,"score_gpt":0.3220638480089585,"score_spread":0.2546042953991843,"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."}}