{"id":"W3078677624","doi":"10.1177/0895904820951120","title":"Universal Design for Learning: When Policy Changes Before Evidence","year":2020,"lang":"en","type":"article","venue":"Educational Policy","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Universal Design for Learning; Conversation; Narrative; Policy analysis; Pedagogy; Sociology; Political science; Psychology; Engineering ethics; Public relations; Public administration; Linguistics; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3886178,0.001345384,0.003314487,0.004518074,0.01206694,0.04287758,0.008000897,0.04938772,0.01859482],"category_scores_gemma":[0.59116,0.00247122,0.003126093,0.003720028,0.03827195,0.08610428,0.02770201,0.03666819,0.002857538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04042171,"about_ca_system_score_gemma":0.11756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007909536,"about_ca_topic_score_gemma":0.006298996,"domain_scores_codex":[0.5821941,0.308978,0.02870435,0.01835545,0.03422712,0.02754095],"domain_scores_gemma":[0.3517596,0.5326991,0.0193398,0.03822926,0.03758868,0.02038351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004377242,0.0003346221,0.004905218,0.003418618,0.0001356199,0.001214082,0.03288517,0.001726073,0.0006019225,0.7417071,0.09982833,0.1128055],"study_design_scores_gemma":[0.0001895607,0.0003046615,0.00180197,0.01057144,0.00008888106,0.0003238811,0.04018624,0.001180493,0.001047545,0.6506531,0.2934442,0.0002080055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01309917,0.008744213,0.0280087,0.9061891,0.008229925,0.0009380666,0.0001989338,0.0004711073,0.03412078],"genre_scores_gemma":[0.5115713,0.004952565,0.09598087,0.3672361,0.002877819,0.005725986,0.0003374072,0.0006622949,0.01065565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3886178,"threshold_uncertainty_score":0.7539431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1746910676585936,"score_gpt":0.4236669471566216,"score_spread":0.248975879498028,"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."}}