{"id":"W3092243773","doi":"10.1007/s11423-020-09840-y","title":"Open educational resources: expanding equity or reflecting and furthering inequities?","year":2020,"lang":"en","type":"article","venue":"Educational Technology Research and Development","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Canada Research Chairs","keywords":"Equity (law); Blessing; Open educational resources; Scrutiny; Educational technology; Open education; Political science; Inclusion (mineral); Sociology; Economic growth; Public relations; Pedagogy; Economics; Social science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00122765,0.0001236547,0.0001557049,0.0003689347,0.001134468,0.0008314889,0.001252337,0.00008700188,0.0002612353],"category_scores_gemma":[0.001402731,0.0001119254,0.000006675386,0.001128625,0.0001989628,0.0005713581,0.003733953,0.0005071769,0.00007023252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548732,"about_ca_system_score_gemma":0.002659265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002198821,"about_ca_topic_score_gemma":0.00002318801,"domain_scores_codex":[0.9982529,0.00008382739,0.0002825792,0.0005681117,0.0003737246,0.0004388033],"domain_scores_gemma":[0.9987475,0.0004324861,0.00008027,0.0001862126,0.0002901202,0.0002634572],"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":[0.0001157412,0.0004128323,0.08148691,0.0001974559,0.0001066316,0.000006768127,0.05575499,0.00000914739,0.001868298,0.674902,0.01936948,0.1657698],"study_design_scores_gemma":[0.002126993,0.00114825,0.1435587,0.0005652317,0.00000652466,0.0003923216,0.1298738,0.0009142078,0.005622019,0.141017,0.5732307,0.001544177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4520423,0.0006857357,0.001418886,0.5119382,0.0002977308,0.0006409264,0.000001078126,0.0001942343,0.03278093],"genre_scores_gemma":[0.9010906,0.00007379541,0.09430513,0.0006781058,0.0001805183,0.000230923,0.000009186514,0.00001151981,0.003420283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5538613,"threshold_uncertainty_score":0.8725522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.275181727406988,"score_gpt":0.4807129151792749,"score_spread":0.2055311877722869,"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."}}