{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136989,0.00006581651,0.000119705,0.00006603361,0.0004868776,0.00002808208,0.0001422136,0.00004798581,0.0001177013],"category_scores_gemma":[0.000709239,0.00005518971,0.00001202615,0.0001075204,0.0001659978,0.0001254276,0.0001334764,0.0001167133,6.008613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006990884,"about_ca_system_score_gemma":0.00008978951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165117,"about_ca_topic_score_gemma":0.00551776,"domain_scores_codex":[0.9990667,0.0002214509,0.000193226,0.0001571174,0.0002068758,0.0001546097],"domain_scores_gemma":[0.9993571,0.0003587514,0.00008301914,0.0000629221,0.00009895416,0.00003924334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002128879,0.0001798574,0.9122478,0.00002909186,0.00001187196,1.539902e-8,0.06155651,0.00000854662,0.00008413757,0.01146403,0.00002136849,0.01437543],"study_design_scores_gemma":[0.002974499,0.001134783,0.08547269,0.0002057913,0.00003861505,3.714193e-7,0.8800605,0.0008326933,0.0003549591,0.01891153,0.009652764,0.0003608359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942002,0.00001062201,0.001785308,0.002150118,0.00003350171,0.0003778114,0.000001390536,0.00003386265,0.001407163],"genre_scores_gemma":[0.9970375,0.000005078372,0.002133237,0.00003947228,0.00001595167,0.00002662363,0.000009099424,0.000005329835,0.0007277296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8267751,"threshold_uncertainty_score":0.3744718,"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."}}