{"id":"W3217572625","doi":"10.46809/jcsll.v3i1.125","title":"Virtual Education in English Literature Courses during Pandemic COVID-19: Merits and Demerits, and Needs","year":2021,"lang":"en","type":"article","venue":"Journal of Critical Studies in language and literature","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Distance education; The Internet; Creativity; Coronavirus disease 2019 (COVID-19); Higher education; Blended learning; Sociology; Public relations; Psychology; Pedagogy; Educational technology; Political science; Computer science; Medicine; World Wide Web","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":[0.003509942,0.0001242724,0.0002437262,0.0007981765,0.003293416,0.005053344,0.000644523,0.0008647927,0.003747321],"category_scores_gemma":[0.008278473,0.0001595831,0.0002082587,0.0007023317,0.001592871,0.004588651,0.003352974,0.0009434763,0.0005593339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594629,"about_ca_system_score_gemma":0.004705442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093932,"about_ca_topic_score_gemma":0.004571075,"domain_scores_codex":[0.9982163,0.0009567201,0.00007637432,0.00009804037,0.0002375601,0.0004149512],"domain_scores_gemma":[0.9948271,0.002413965,0.0006094556,0.0001512684,0.0006310324,0.001367232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001720327,0.001341751,0.1043775,0.001761953,0.0000141283,0.00333704,0.4205995,0.0001343152,0.002324075,0.01876006,0.00907002,0.4381076],"study_design_scores_gemma":[0.00001239948,0.0004017318,0.05288698,0.001190524,0.00001946742,0.001005774,0.8537848,0.0002038539,0.0006967639,0.004345559,0.08542755,0.00002459955],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477296,0.004257618,0.0009396765,0.01210255,0.0001999673,0.0001302061,0.0000449241,0.00002241748,0.03457297],"genre_scores_gemma":[0.9905649,0.002531931,0.000982367,0.0008801276,0.00006750434,0.00006418302,0.00002568799,0.000006675567,0.004876595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005053344,"threshold_uncertainty_score":0.01856256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533727032033322,"score_gpt":0.3950490432683663,"score_spread":0.3797117729480331,"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."}}