{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02057651,0.0003746024,0.0003339269,0.0009555566,0.002165371,0.006925003,0.001607315,0.0009738624,0.006178295],"category_scores_gemma":[0.04605709,0.0003093209,0.0003396706,0.0005407028,0.007957962,0.008053092,0.008816374,0.002101385,0.0006541125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003651971,"about_ca_system_score_gemma":0.004079253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220143,"about_ca_topic_score_gemma":0.002461515,"domain_scores_codex":[0.9849806,0.01145205,0.0003885864,0.0009784199,0.001358145,0.0008422658],"domain_scores_gemma":[0.9730742,0.01609254,0.001577206,0.00538022,0.001987178,0.001888563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002669475,0.0009169967,0.01706718,0.0005218665,0.00005099785,0.0001022858,0.06254568,0.003385381,0.004808994,0.5076804,0.006075474,0.3965777],"study_design_scores_gemma":[0.0005023722,0.001552025,0.01316667,0.001153851,0.0001576682,0.0002292492,0.05105456,0.01850647,0.01613152,0.6945215,0.202895,0.0001290963],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3841701,0.0005756569,0.4598977,0.015698,0.0004977803,0.001306509,0.0000861971,0.0007656749,0.1370025],"genre_scores_gemma":[0.9190978,0.000126223,0.07349038,0.0008567279,0.00004362598,0.00062691,0.00002637521,0.0001599156,0.005571944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02057651,"threshold_uncertainty_score":0.1088203,"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."}}