{"id":"W3130679665","doi":"10.33369/joall.v6i1.13314","title":"CODE-SWITCHING IN INDONESIAN POPULAR SONGS AND THE IMPLICATIONS FOR ENGLISH LANGUAGE TEACHING","year":2021,"lang":"en","type":"article","venue":"JOALL (Journal of Applied Linguistics and Literature)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Code-switching; Lyrics; Indonesian; Code (set theory); Pronunciation; Computer science; Linguistics; Identity (music); Natural language processing; Programming language; Literature; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381509,0.00008243856,0.0001903471,0.00008279261,0.0003538673,0.0003470075,0.0001140722,0.00008659468,0.000002880916],"category_scores_gemma":[0.004230929,0.00006191706,0.0000488148,0.0001299511,0.00006874632,0.00002182236,0.00002320976,0.0004079234,9.228069e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266567,"about_ca_system_score_gemma":0.0002153527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009477923,"about_ca_topic_score_gemma":0.0003628201,"domain_scores_codex":[0.9992214,0.00008255577,0.0003160506,0.0001139222,0.0001070254,0.0001590593],"domain_scores_gemma":[0.9989145,0.0004119734,0.0001980312,0.00009362068,0.0002733496,0.0001085044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004108974,0.0000297417,0.0002935634,0.00002198205,0.00001096517,0.000003466308,0.313496,0.000002781734,0.00007483408,0.6774206,0.0001225983,0.008482402],"study_design_scores_gemma":[0.002223621,0.00001931311,0.001165318,0.0001582121,0.00006183561,0.00001403766,0.08143976,0.0001177807,0.00004730571,0.03017407,0.8843871,0.0001916793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151511,0.005926454,0.0004901974,0.007365229,0.001477517,0.0005809927,0.00004950129,0.00002511321,0.06893394],"genre_scores_gemma":[0.9921865,0.0003484731,0.004045952,0.0006303286,0.002596505,0.000006420613,0.000008009483,0.000009016109,0.0001688109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8842645,"threshold_uncertainty_score":0.5065123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790159502696656,"score_gpt":0.3781049792134936,"score_spread":0.3602033841865271,"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."}}