{"id":"W3192663403","doi":"","title":"The Changing Faces of Chinese Canadians: Interpellation and Performance in the Deployment of the Model Minority Discourse","year":2019,"lang":"en","type":"article","venue":"YorkSpace (York University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Model minority; Immigration; Mainstream; Multiculturalism; China; Political science; Racialization; Immigration policy; Gender studies; Sociology; Political economy; Ethnic group; Politics; Law; Asian americans","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":[0.003654983,0.0006400393,0.0003707634,0.002029159,0.04823595,0.009955171,0.001567193,0.001552706,0.004989651],"category_scores_gemma":[0.005148357,0.0003003078,0.0002713907,0.003415875,0.02461506,0.003036683,0.007176321,0.00353307,0.0002702657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06385747,"about_ca_system_score_gemma":0.06548098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9492522,"about_ca_topic_score_gemma":0.9733945,"domain_scores_codex":[0.9966299,0.0007812203,0.0000557723,0.0003596872,0.0009296323,0.001243784],"domain_scores_gemma":[0.9968959,0.000599112,0.0002967299,0.0001377075,0.0009705127,0.001099988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002715374,0.000009695165,0.007420074,0.00002113941,0.000004616048,0.0002150943,0.9747219,0.00002641544,0.0003006939,0.009734454,0.002235813,0.005282909],"study_design_scores_gemma":[0.000002415703,0.0000112414,0.009448834,0.00003250426,0.000007875607,0.0000521352,0.9672142,0.00006300501,0.0001521831,0.0006636251,0.02232269,0.00002933083],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165347,0.0007389526,0.0002222771,0.007298652,0.0001504015,0.00002416215,0.00008429512,0.00001366309,0.07493287],"genre_scores_gemma":[0.992672,0.0003270674,0.0001021225,0.0005215473,0.00001802898,0.000008384951,0.00003116739,0.00001284428,0.006306888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06385747,"threshold_uncertainty_score":0.4633206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006501747240968182,"score_gpt":0.1942187503373011,"score_spread":0.1877170030963329,"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."}}