{"id":"W3157671407","doi":"10.17471/2499-4324/1203","title":"WHEN THE CLASSROOM BECOMES DATAFIED: A BASELINE FOR BUILDING DATA ETHICS POLICY AND DATA LITERACIES ACROSS HIGHER EDUCATION","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Snapshot (computer storage); Baseline (sea); Higher education; Survey data collection; Context (archaeology); Online learning; Sociology; Pedagogy; Computer science; Knowledge management; Mathematics education; Political science; Psychology; Multimedia; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.09365108,0.0005110277,0.0009974755,0.005481447,0.02141417,0.0364139,0.003075428,0.006165076,0.006114711],"category_scores_gemma":[0.1368893,0.000961162,0.0005562365,0.004413217,0.03016771,0.05515457,0.02833982,0.01775162,0.0008257137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02474289,"about_ca_system_score_gemma":0.0625874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574315,"about_ca_topic_score_gemma":0.02076885,"domain_scores_codex":[0.9295418,0.0410708,0.004191731,0.005381129,0.00918572,0.01062883],"domain_scores_gemma":[0.8489367,0.07553162,0.01453204,0.01157195,0.02703006,0.02239772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001091437,0.0007219348,0.05776798,0.0005823116,0.00002133277,0.0005523294,0.5075919,0.0002910536,0.001569577,0.303943,0.01198512,0.1148643],"study_design_scores_gemma":[0.0000121997,0.0001417682,0.02086755,0.001742967,0.00001113957,0.0001256622,0.8165495,0.0002749952,0.001415322,0.07360982,0.08517511,0.0000738818],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.455155,0.005142994,0.03223471,0.4219021,0.001183275,0.0005959917,0.0007604995,0.000179947,0.08284543],"genre_scores_gemma":[0.9779097,0.001051503,0.009191356,0.009069319,0.0001305231,0.0004037851,0.000168669,0.00009304281,0.001982198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9785858,"threshold_uncertainty_score":0.4952801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4859894856187493,"score_gpt":0.6432958987524134,"score_spread":0.1573064131336641,"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."}}