{"id":"W3042835334","doi":"10.5539/elt.v13n8p135","title":"English Language Teaching in Brazil: A Gap in Policy, Problems in Practice","year":2020,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Status quo; Curriculum; Foreign language; Reading (process); Language assessment; Population; Language education; Pedagogy; Mathematics education; Class (philosophy); Psychology; National curriculum; Subject (documents); Sociology; Political science; Law; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004534936,0.0002499035,0.0003565502,0.0005725209,0.0002238395,0.0002622085,0.0005495921,0.0002174493,0.0001252334],"category_scores_gemma":[0.05803752,0.0002781677,0.0000761315,0.0009017882,0.00007982863,0.001040993,0.0001250689,0.002271508,0.00002456807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005075266,"about_ca_system_score_gemma":0.0005217756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1213483,"about_ca_topic_score_gemma":0.06447249,"domain_scores_codex":[0.995363,0.002266865,0.0005840731,0.0005145355,0.00047109,0.0008004392],"domain_scores_gemma":[0.9982187,0.0009706692,0.0001969838,0.0002758325,0.00003507981,0.00030271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001642826,0.0002241731,0.008254727,0.00004019419,0.000005822725,0.00007093797,0.9643514,0.0002657762,0.0002040094,0.01190484,0.0001861168,0.0144756],"study_design_scores_gemma":[0.0009958664,0.00002772532,0.0007003049,0.0001619145,0.00000642352,0.000001097253,0.895162,0.0003266303,0.00002864869,0.00003961057,0.102202,0.0003477133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6723994,0.000394637,0.00001394558,0.004040348,0.0003121109,0.0004620642,0.000008333676,0.0002620031,0.3221072],"genre_scores_gemma":[0.9900005,0.00002943061,0.001050218,0.004790851,0.003375845,0.00004431863,0.0000267627,0.00004595043,0.0006360696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214711,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391229861626906,"score_gpt":0.4275033385060075,"score_spread":0.3935910398897384,"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."}}