{"id":"W4376610676","doi":"10.1590/1984-6398202321939","title":"Learning from Ryuko Kubota: Applied Linguistics, Race, Identity, and Critical Approaches","year":2023,"lang":"en","type":"article","venue":"Revista Brasileira de Lingüística Aplicada","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Translanguaging; Identity (music); Race (biology); Applied linguistics; Sociology; Relevance (law); Linguistics; Pedagogy; Philosophy; Gender studies; Political science; Aesthetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00105209,0.0003610491,0.0005499749,0.0001866603,0.001150063,0.001553311,0.0003542786,0.0001594814,0.0004106537],"category_scores_gemma":[0.006631643,0.0003642254,0.0001253234,0.0001590098,0.0005190352,0.0001192033,0.0002986223,0.001232793,0.0005250288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005728197,"about_ca_system_score_gemma":0.00006173667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003000044,"about_ca_topic_score_gemma":0.00003983862,"domain_scores_codex":[0.9974375,0.0002288515,0.0005182878,0.0007178265,0.0004039547,0.0006936298],"domain_scores_gemma":[0.9969624,0.002106859,0.0001439751,0.0003903407,0.0001075506,0.0002889016],"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":[0.00003017054,0.00006990765,0.01344373,0.0003187589,0.00008104471,0.00004318293,0.01028986,0.0002183708,0.0001994554,0.9701581,0.002103731,0.003043707],"study_design_scores_gemma":[0.001431933,0.0003372853,0.02331356,0.001053064,0.0007862849,0.00002097328,0.01854886,0.05693272,0.0001152034,0.02042321,0.8745986,0.002438355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692353,0.001646439,0.005210025,0.0004839241,0.001007397,0.0005905307,0.00008200276,0.002428651,0.1193158],"genre_scores_gemma":[0.992243,0.00006323238,0.001315743,0.0002229244,0.003541277,0.00004186219,0.000111907,0.0001037758,0.00235628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9497349,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09163964242271982,"score_gpt":0.3005911353271146,"score_spread":0.2089514929043947,"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."}}