{"id":"W2185585739","doi":"10.29173/irie365","title":"The Ethics of Big Data in Higher Education","year":2014,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Big data; Data science; Nexus (standard); Value (mathematics); Engineering ethics; Psychological intervention; Computer science; Knowledge management; Political science; Psychology; Data mining; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1023182,0.0004357346,0.0009509827,0.002358689,0.006876769,0.01954534,0.001817031,0.01136938,0.001787231],"category_scores_gemma":[0.1506069,0.0005645846,0.0004462018,0.003819556,0.05468588,0.01587493,0.00947136,0.01595001,0.0008660908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007509074,"about_ca_system_score_gemma":0.02422516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675952,"about_ca_topic_score_gemma":0.001919804,"domain_scores_codex":[0.8302784,0.1329842,0.00546697,0.004361873,0.02346061,0.00344793],"domain_scores_gemma":[0.6595264,0.280572,0.0128495,0.01955936,0.01937927,0.008113399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001907115,0.00003438859,0.001348107,0.0002334304,0.00001271568,0.00009922317,0.00958195,0.0004307145,0.00009568973,0.9253047,0.02180847,0.04103142],"study_design_scores_gemma":[0.00001185949,0.00002793453,0.000911041,0.001176957,0.000005915507,0.000150352,0.006298752,0.0007858253,0.0002655262,0.8052779,0.1850488,0.0000390922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01883151,0.04250333,0.04881256,0.8219833,0.003241216,0.0001060953,0.0001069036,0.0000806889,0.06433449],"genre_scores_gemma":[0.78593,0.03647316,0.02496836,0.1320954,0.008018928,0.0004244515,0.0001336937,0.0001866776,0.01176925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1023182,"threshold_uncertainty_score":0.5411166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262834686519953,"score_gpt":0.4037729858606227,"score_spread":0.2774895172086274,"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."}}