{"id":"W6999784008","doi":"","title":"Does Chineseness equate with mathematics competence? Resilience to racialised stereotype","year":2018,"lang":"en","type":"other","venue":"QUT ePrints (Queensland University of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stereotype (UML); Stereotype threat; Psychological resilience; Cognition; Empirical research; Dynamics (music); Resilience (materials science)","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":[0.001373422,0.0002173734,0.0002729211,0.001499579,0.00179929,0.002206067,0.0004750886,0.0005883095,0.007134306],"category_scores_gemma":[0.008141342,0.0002038367,0.0004604638,0.001134122,0.002875328,0.001508661,0.002191988,0.00103495,0.0003814613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008206437,"about_ca_system_score_gemma":0.001214382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806739,"about_ca_topic_score_gemma":0.01590693,"domain_scores_codex":[0.9992187,0.0001931568,0.00003845078,0.0001793128,0.0001661475,0.00020419],"domain_scores_gemma":[0.9958892,0.0006181606,0.001957614,0.0004957918,0.0002697453,0.0007694736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008571321,0.0001747164,0.9354485,0.00005600464,0.0001019095,0.0005367705,0.03004126,0.00008211785,0.0003683596,0.005049802,0.0009873615,0.02706752],"study_design_scores_gemma":[0.000003891274,0.00006011954,0.975459,0.0001240628,0.00003993224,0.0003122078,0.01746015,0.0001499635,0.0001482548,0.004178028,0.002046145,0.00001820548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896198,0.0005367188,0.0001170536,0.002145299,0.00003065728,0.000009017478,0.00008050692,0.000007024601,0.007453937],"genre_scores_gemma":[0.9991404,0.0001724518,0.00005505151,0.0001073687,0.00001108534,0.000004144303,0.00003782029,0.000003383521,0.0004681889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806739,"threshold_uncertainty_score":0.03592443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006812308761576261,"score_gpt":0.2171607528505519,"score_spread":0.2103484440889757,"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."}}