{"id":"W2964987680","doi":"10.1177/0261927x19865572","title":"“You’re a <i>Juksing</i> ”: Examining Cantonese–English Code-Switching as an Index of Identity","year":2019,"lang":"en","type":"article","venue":"Journal of Language and Social Psychology","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; University of Pittsburgh","keywords":"Code-switching; Neuroscience of multilingualism; Pride; Multilingualism; Psychology; Identity (music); Linguistics; Multiculturalism; First language; Categorization; Coding (social sciences); Code (set theory); Social psychology; Sociology; Computer science; Political science; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003589456,0.0002713654,0.0001688135,0.001110621,0.004638058,0.002703858,0.0005639368,0.0004049532,0.0012672],"category_scores_gemma":[0.00554214,0.0001660887,0.0001355916,0.001050905,0.005313662,0.001122425,0.002277565,0.0009289117,0.0001268004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00564471,"about_ca_system_score_gemma":0.003152597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2226558,"about_ca_topic_score_gemma":0.3352213,"domain_scores_codex":[0.9984616,0.000840277,0.00005846004,0.0001447133,0.0002158998,0.000279043],"domain_scores_gemma":[0.9959111,0.001321072,0.001182703,0.000193639,0.0008346393,0.0005569072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000895027,0.0000366949,0.1184624,0.00003265592,0.000005905893,0.0002772607,0.8731965,0.0000179881,0.001907036,0.0007960888,0.0001970629,0.004980889],"study_design_scores_gemma":[0.000003299507,0.00004403985,0.2009558,0.00003587124,0.000005163628,0.00007626863,0.7969936,0.0001306232,0.0004147541,0.0001597817,0.001166932,0.00001389897],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998673,0.00001557991,0.00003888485,0.00005956197,0.000002002855,0.000006122526,0.000007373979,3.894976e-7,0.001197042],"genre_scores_gemma":[0.9994791,0.00002557264,0.00007056343,0.00002940478,0.000001549777,0.00001016309,0.00002090832,0.000001462507,0.0003612646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226558,"threshold_uncertainty_score":0.4427195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.066694142361695,"score_gpt":0.5011377887552044,"score_spread":0.4344436463935094,"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."}}