{"id":"W3211280524","doi":"10.5206/elip.v4i1.13463","title":"Unresolved Privacy and Ethics Issues Related to Learning Analytics in Higher Education and Academic Librarianship","year":2021,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Learning analytics; Analytics; Data collection; Big data; Information privacy; Data science; Engineering ethics; Ethical issues; Knowledge management; Computer science; Internet privacy; Psychology; Sociology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003551554,0.0001650519,0.0001696057,0.0005514155,0.0001886529,0.0005746667,0.002621985,0.0002499098,0.00007612796],"category_scores_gemma":[0.00706465,0.0001803226,0.00002216448,0.00150247,0.00008049983,0.01417833,0.01409075,0.001166221,0.00001511667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671717,"about_ca_system_score_gemma":0.000258751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001003977,"about_ca_topic_score_gemma":4.135963e-7,"domain_scores_codex":[0.9986028,0.0001496565,0.000399656,0.0003505049,0.0002529128,0.0002444858],"domain_scores_gemma":[0.9982236,0.0002393998,0.0001411733,0.001230853,0.00007345116,0.00009152477],"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":[0.00003091121,0.00008733816,0.07536533,0.000197342,0.00007175582,0.00001098149,0.1382196,0.0004774564,0.0003279531,0.6885813,0.05080415,0.04582589],"study_design_scores_gemma":[0.0007826636,0.0001120111,0.3052786,0.0005837479,0.00001628835,0.00004770645,0.03384088,0.06642815,0.003212487,0.4367033,0.1520534,0.0009407572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2622163,0.00801929,0.008667622,0.7071064,0.0005355836,0.0003616135,0.000008223776,0.001789476,0.01129548],"genre_scores_gemma":[0.7580698,0.003413913,0.2343089,0.002129039,0.00006645392,0.00002677127,0.00008694774,0.00002443848,0.001873664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7049774,"threshold_uncertainty_score":0.9996098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943913066344401,"score_gpt":0.3220548517084434,"score_spread":0.2726157210449994,"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."}}