{"id":"W3114043227","doi":"10.1515/multi-2020-0034","title":"“We contribute to the development of South Korea”: Bilingual womanhood and politics of bilingual policy in South Korea","year":2020,"lang":"en","type":"article","venue":"Multilingua","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cognitive reframing; Government (linguistics); Entrepreneurship; Language policy; Negotiation; Nationalism; Identity (music); Sociology; Politics; Political science; Multilingualism; Gender studies; Linguistics; Social science; Psychology; Pedagogy; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003390903,0.0002366671,0.0001322126,0.0004659929,0.01368289,0.004655901,0.0003856786,0.001289356,0.004519104],"category_scores_gemma":[0.001772684,0.0001838582,0.000144967,0.0004597597,0.009204798,0.002773506,0.006349668,0.002363094,0.0003018519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004956503,"about_ca_system_score_gemma":0.007483998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622242,"about_ca_topic_score_gemma":0.03265086,"domain_scores_codex":[0.9979551,0.001244321,0.00003670647,0.00009154955,0.00006827544,0.0006039436],"domain_scores_gemma":[0.9983451,0.0003929627,0.0002668972,0.00005029703,0.0001227311,0.0008219734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007498293,0.00007352295,0.01810874,0.0001414564,0.00001050296,0.002437959,0.7880223,0.0001011645,0.001670762,0.1593369,0.01039008,0.01963159],"study_design_scores_gemma":[0.00001052921,0.00003433114,0.00616919,0.0001463747,0.000007630114,0.0003621728,0.8567491,0.0001194639,0.0003952619,0.004837055,0.1311503,0.00001848037],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8439476,0.001723924,0.0005850881,0.0578039,0.0002832166,0.00003040161,0.00001835407,0.00001553702,0.09559198],"genre_scores_gemma":[0.9922721,0.0003231976,0.00008831276,0.002152482,0.00001310636,0.000007210073,0.000004024976,0.000005807646,0.0051337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622242,"threshold_uncertainty_score":0.0359621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04425805716844641,"score_gpt":0.3208716975084803,"score_spread":0.2766136403400339,"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."}}