{"id":"W4391077288","doi":"","title":"Differentiated Visibility? Representations of Chinese migrants in French government’s official reports","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Visibility; Government (linguistics); China; Computer science; Political science; Telecommunications; Linguistics; Geography; Law; Meteorology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005627775,0.000336322,0.0002319503,0.003211161,0.006884117,0.008052609,0.0006870522,0.001366471,0.004231654],"category_scores_gemma":[0.009632196,0.0001791491,0.0001995331,0.003294105,0.005718075,0.00315479,0.003645365,0.001437107,0.0002731502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008567334,"about_ca_system_score_gemma":0.004502296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1039192,"about_ca_topic_score_gemma":0.07561383,"domain_scores_codex":[0.9957047,0.00223327,0.0001917246,0.0001616387,0.0005883229,0.001120403],"domain_scores_gemma":[0.9923899,0.002760588,0.002189792,0.0003562082,0.001127741,0.001175779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007375013,0.00002312697,0.02690722,0.00004561393,0.00001316203,0.000418392,0.9519979,0.00002712327,0.0004804721,0.01232292,0.002028407,0.005661777],"study_design_scores_gemma":[0.000005154894,0.00003115417,0.03677594,0.0000852077,0.00001316327,0.0001523551,0.9433451,0.0000726311,0.0001839409,0.0005543249,0.01875358,0.00002737766],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773251,0.0004001393,0.00009732928,0.003989075,0.00005805409,0.000008896722,0.00005885382,0.000007223829,0.01805527],"genre_scores_gemma":[0.9980768,0.0001480235,0.0000229252,0.0001899209,0.0000339549,0.000005121355,0.00002120165,0.000003510644,0.001498527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1039192,"threshold_uncertainty_score":0.2066287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297216861538132,"score_gpt":0.2609605170639022,"score_spread":0.2479883484485209,"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."}}