{"id":"W4220958516","doi":"10.1080/00071005.2022.2056575","title":"COVID-19 AND THE INTERNATIONAL BACCALAUREATE: A COMPUTER-ASSISTED DISCOURSE ANALYSIS OF #IBSCANDAL","year":2022,"lang":"en","type":"article","venue":"British Journal of Educational Studies","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sociology; Discourse analysis; Pandemic; Pedagogy; Political science; Linguistics; Virology; Medicine; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004245617,0.0003597195,0.0003136478,0.003459746,0.002887458,0.004145998,0.0006299891,0.000865475,0.003767219],"category_scores_gemma":[0.01181305,0.0001823131,0.0001788463,0.003972979,0.002674084,0.003257818,0.003656212,0.001248048,0.000853249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003199174,"about_ca_system_score_gemma":0.002057472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059583,"about_ca_topic_score_gemma":0.01658488,"domain_scores_codex":[0.9974691,0.001518864,0.0001294,0.000200732,0.0005154606,0.0001664727],"domain_scores_gemma":[0.9834512,0.01347878,0.0009990912,0.0004339785,0.001260309,0.0003765889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002604561,0.0001209665,0.02342043,0.0007295901,0.00001431767,0.0007205254,0.8871029,0.0002507509,0.008356253,0.01347853,0.008590788,0.05695453],"study_design_scores_gemma":[0.00001557197,0.00009226793,0.03552928,0.0007120254,0.00001921708,0.0002092648,0.8286478,0.00247133,0.00593511,0.002679487,0.1236203,0.00006826444],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628382,0.0005296264,0.004261004,0.003249292,0.0002058946,0.000226559,0.002506099,0.00009056688,0.02609267],"genre_scores_gemma":[0.9771671,0.0004858397,0.009737018,0.0003667138,0.00007089203,0.0003200235,0.00189945,0.0001137728,0.009839053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01059583,"threshold_uncertainty_score":0.02321178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356363872362111,"score_gpt":0.4066235998828669,"score_spread":0.3630599611592458,"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."}}