{"id":"W2331072455","doi":"","title":"Teaching Students with Disabilities in Post-secondary Landscapes: Navigating Elements of Inclusion, Differentiation, Universal Design for Learning, and Technology","year":2014,"lang":"en","type":"article","venue":"","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Universal Design for Learning; Pace; Inclusion (mineral); Differentiated instruction; Demographics; Psychology; Pedagogy; Mathematics education; Educational technology; Teaching method; Professional development; Mainstreaming; Learning disability; Special education; Sociology; Developmental psychology; Social psychology","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":[0.002820009,0.0002638675,0.0003444716,0.0008968974,0.006909713,0.006735263,0.001277264,0.001081978,0.00243971],"category_scores_gemma":[0.003761216,0.0002410229,0.0003192182,0.0005897293,0.005490113,0.003434825,0.009683834,0.001673715,0.0005205607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695298,"about_ca_system_score_gemma":0.008462755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006206534,"about_ca_topic_score_gemma":0.03271645,"domain_scores_codex":[0.9980721,0.0008645999,0.00007195749,0.0001323512,0.0002836726,0.0005751955],"domain_scores_gemma":[0.9984058,0.000579991,0.0001689125,0.0001000048,0.0002138621,0.0005314452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003586699,0.001080861,0.03235088,0.000428268,0.000008742575,0.00131996,0.7532531,0.0001221429,0.002449776,0.008961773,0.002719212,0.1972694],"study_design_scores_gemma":[0.00001262453,0.0002824002,0.02687904,0.000544188,0.00001909759,0.0007828658,0.9030841,0.000147062,0.001767439,0.006090114,0.06037001,0.00002103399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9716908,0.0009282727,0.001881168,0.003480606,0.0000410456,0.00007955122,0.000009451829,0.00003111603,0.02185796],"genre_scores_gemma":[0.9922537,0.0009663726,0.002728074,0.000333733,0.000007454744,0.00003996256,0.000007622116,0.000008295771,0.00365475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006909713,"threshold_uncertainty_score":0.01955581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308907173015806,"score_gpt":0.3277764155349091,"score_spread":0.3146873438047511,"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."}}