{"id":"W3189397059","doi":"","title":"Parallel Teaching Processes to Mitigate Learning Disruption in the Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of Transformative Learning","topic":"Adult and Continuing Education Topics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Patience; Transformative learning; Disconnection; Grief; Flexibility (engineering); Pandemic; Pedagogy; Psychology; Active learning (machine learning); Coronavirus disease 2019 (COVID-19); Sociology; Mathematics education; Social psychology; Political science; Computer science; Medicine; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.002158192,0.00006465116,0.0001326234,0.00008448807,0.0004928435,0.0001291355,0.0001677906,0.00004399362,0.00003235821],"category_scores_gemma":[0.001734826,0.00004800036,0.000061657,0.0003268318,0.00003533637,0.0005290826,0.000005557959,0.0009518471,0.00000699417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000069067,"about_ca_system_score_gemma":0.0002864198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004907567,"about_ca_topic_score_gemma":0.0006026307,"domain_scores_codex":[0.9982431,0.0008620551,0.0003129673,0.0000625041,0.0003366638,0.0001826882],"domain_scores_gemma":[0.9991444,0.0003320375,0.0001877204,0.00003058028,0.0002481345,0.00005713101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002780026,0.00004515647,0.05689248,0.00003516641,0.0000144996,0.00001069823,0.8632882,0.005203344,0.0001275993,0.001644688,0.00006241599,0.07264797],"study_design_scores_gemma":[0.0005015095,0.0001656857,0.02740658,0.0004309686,0.00002614319,0.00003593428,0.6635183,0.0001194837,0.00005749981,0.0009299241,0.306651,0.0001569607],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542222,0.0002717958,0.0229655,0.01074749,0.0001530362,0.0001028677,1.956906e-7,0.00001747279,0.01151945],"genre_scores_gemma":[0.9976512,0.0003026743,0.0007204158,0.0002448471,0.0002325997,0.000004141207,0.000001205929,0.000004784166,0.0008381671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3065886,"threshold_uncertainty_score":0.4135355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393191267047071,"score_gpt":0.3500960637110828,"score_spread":0.326164151040612,"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."}}