{"id":"W4233613001","doi":"10.1016/s0277-5395(04)00017-2","title":"Gender, work and migration: Deskilling chinese immigrant women in Canada","year":2004,"lang":"en","type":"article","venue":"Women s Studies International Forum","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Deskilling; Immigration; China; Gender studies; Restructuring; Political science; Mainland China; Accreditation; Mainland; Citizenship; Sociology; Economic growth; Demographic economics; Work (physics); Politics; Geography; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001736075,0.0003829492,0.0005869496,0.002256173,0.02647406,0.005957055,0.001802843,0.001762356,0.004778773],"category_scores_gemma":[0.003333474,0.0003504945,0.0004107264,0.004647589,0.006741805,0.002069058,0.004594529,0.003055421,0.000350647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04290918,"about_ca_system_score_gemma":0.08703177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846502,"about_ca_topic_score_gemma":0.9947879,"domain_scores_codex":[0.9974597,0.0003620259,0.00006138667,0.000128932,0.0003254002,0.001662569],"domain_scores_gemma":[0.9966354,0.000377847,0.0003982953,0.0000564365,0.0007435192,0.001788645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002469908,0.0002067877,0.2344381,0.00007450552,0.00002577613,0.001014599,0.7361224,0.00008019694,0.0004024881,0.00361503,0.005523113,0.01825006],"study_design_scores_gemma":[0.000005133485,0.00002766052,0.0751917,0.00005505591,0.000009478283,0.00006305128,0.9188557,0.0000355326,0.00004196629,0.000132371,0.005561221,0.00002105359],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911404,0.0007522765,0.00002553994,0.002983584,0.00006400338,0.00001661872,0.0001216791,0.00000380173,0.004892039],"genre_scores_gemma":[0.9911276,0.0007328872,0.00004183997,0.0007831345,0.00001747466,0.00001535529,0.00007189881,0.000008608382,0.007201277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04290918,"threshold_uncertainty_score":0.3113293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952071579060794,"score_gpt":0.2887046462367415,"score_spread":0.2691839304461336,"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."}}