{"id":"W4392229084","doi":"","title":"Hybrid Identities in Cadada : a case study of the Korean Canadian identity","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Genealogy; Gender studies; Political science; Sociology; History; Art; Aesthetics","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":[0.003043804,0.000783724,0.0006616644,0.003217446,0.04680542,0.00659513,0.002501456,0.002164848,0.006529756],"category_scores_gemma":[0.003211194,0.00059137,0.000499797,0.006745862,0.01099318,0.00245934,0.006882409,0.00244004,0.0005822728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05969017,"about_ca_system_score_gemma":0.04319559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9288716,"about_ca_topic_score_gemma":0.9802204,"domain_scores_codex":[0.9972973,0.0007070315,0.00007917444,0.000285425,0.000537525,0.001093553],"domain_scores_gemma":[0.9978824,0.0004635097,0.0001886245,0.0001809887,0.0005456507,0.0007387527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005096294,0.00006260841,0.02493061,0.00009746015,0.00001464355,0.01512376,0.9202114,0.000113135,0.000885419,0.01798513,0.002768242,0.01775655],"study_design_scores_gemma":[0.000003225364,0.00001878779,0.009757073,0.0001182689,0.00001505465,0.001384281,0.9454383,0.00007284434,0.0001442047,0.0002639185,0.04275936,0.00002459553],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510956,0.00179187,0.0005300622,0.002232185,0.0001034362,0.0001238843,0.000141627,0.00001314969,0.04396819],"genre_scores_gemma":[0.975934,0.001796507,0.0008101999,0.0005277046,0.00001061206,0.00004357363,0.00009575341,0.00002021423,0.02076145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07112837,"threshold_uncertainty_score":0.4330845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114734918578882,"score_gpt":0.2835009540740425,"score_spread":0.2523536048882537,"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."}}