{"id":"W4401200077","doi":"10.1080/01587919.2024.2362413","title":"Decolonizing digital learning: equity through intentional course design","year":2024,"lang":"en","type":"article","venue":"Distance Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Distance education; Course (navigation); Equity (law); Computer science; Mathematics education; Sociology; Psychology; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001898164,0.00009832597,0.00006926208,0.00002635231,0.0001441154,0.001621089,0.0003587259,0.00003853963,0.00004520957],"category_scores_gemma":[0.0001162882,0.00009907712,0.00007489923,0.0004211435,0.00005323847,0.002445386,0.00008213011,0.0001453112,0.0003466785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021487,"about_ca_system_score_gemma":0.001283948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003175819,"about_ca_topic_score_gemma":8.106293e-7,"domain_scores_codex":[0.9990788,0.00002610495,0.0001570955,0.0003189946,0.0002339345,0.0001850928],"domain_scores_gemma":[0.9994588,0.0001001427,0.00004376522,0.0001967097,0.0001314744,0.00006906291],"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":[0.00000182051,0.0003012716,0.0004781792,0.0000336249,0.00001784943,0.000001112499,0.005114052,0.00008355462,0.00001956668,0.7814314,0.06559937,0.1469182],"study_design_scores_gemma":[0.00009297172,0.00005775224,0.004131106,0.0001374015,0.00001121617,0.00001465455,0.002849053,0.01546556,0.0001348946,0.1218315,0.8549098,0.0003640987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002496069,0.001071063,0.9539683,0.004515827,0.003693561,0.0001233513,0.000002681548,0.0003286557,0.03380052],"genre_scores_gemma":[0.9769146,0.0000255119,0.01122204,0.0004338898,0.0001765463,0.0000477812,0.00004672786,0.00000995932,0.01112295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744185,"threshold_uncertainty_score":0.9994153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141655633076128,"score_gpt":0.356134464957413,"score_spread":0.3147179086266517,"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."}}