{"id":"W4309697525","doi":"10.14742/apubs.2022.174","title":"UDL Implementation in Higher Education: Drawing lessons from the COVID online pivot and reconnecting with inclusive design in the face-to-face classroom","year":2022,"lang":"en","type":"article","venue":"ASCILITE Publications","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Mindset; Universal Design for Learning; Inclusion (mineral); Coronavirus disease 2019 (COVID-19); Universal design; Pedagogy; Higher education; Psychology; Session (web analytics); Face (sociological concept); Medical education; Political science; Sociology; Public relations; Medicine; Computer science; Social psychology; Social science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001997134,0.00009257397,0.00009275589,0.0001205349,0.001552109,0.0002766996,0.000504159,0.00002554621,0.001052536],"category_scores_gemma":[0.0004356671,0.00007091658,0.00002075879,0.001541898,0.0001232314,0.0003347381,0.000130981,0.0002228033,0.0000071272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006409658,"about_ca_system_score_gemma":0.001250949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02142931,"about_ca_topic_score_gemma":0.08157478,"domain_scores_codex":[0.9976233,0.001136123,0.0002813472,0.0003378133,0.0003763802,0.0002449999],"domain_scores_gemma":[0.9979011,0.00144804,0.0001054933,0.000357183,0.00009612125,0.000092107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000224542,0.0009032618,0.3139852,0.000004421529,0.00002107368,1.995787e-7,0.5553563,0.0009744592,0.00001834651,0.06426784,0.01620175,0.04824467],"study_design_scores_gemma":[0.0001609434,0.00002090717,0.3961468,0.000004202685,0.00000715819,5.320795e-7,0.3585224,0.00002009185,7.532133e-7,0.003580156,0.24146,0.00007600567],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4038968,0.00009991158,0.0003351986,0.5926682,0.0001627168,0.001110584,0.00007724454,0.00003088288,0.001618466],"genre_scores_gemma":[0.987438,0.00001481172,0.001039303,0.008978124,0.0001181565,0.001415616,0.0001737713,0.000007869371,0.0008143547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.58369,"threshold_uncertainty_score":0.9998606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213357717211621,"score_gpt":0.4164573790757938,"score_spread":0.2951216073546318,"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."}}