{"id":"W4206717605","doi":"10.18357/otessac.2021.1.1.49","title":"The Educators’ Datafied Present and Future: Complexity as an Approach to Developing Educators' Data Literacies","year":2021,"lang":"en","type":"article","venue":"The Open/Technology in Education Society and Scholarship Association Conference","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ministerio de Economía y Competitividad","keywords":"Literacy; Context (archaeology); Perspective (graphical); Information literacy; Learning analytics; Face (sociological concept); Analytics; Data science; Engineering ethics; Sociology; Computer science; Pedagogy; Social science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002807992,0.000164346,0.0002077849,0.00006089223,0.001144183,0.002227116,0.002946448,0.0002117247,0.000004030914],"category_scores_gemma":[0.0008007715,0.0001260124,0.00002246952,0.001153216,0.000160733,0.001390665,0.00218917,0.0008034166,0.000007598555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615218,"about_ca_system_score_gemma":0.002021998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007420867,"about_ca_topic_score_gemma":0.00007396882,"domain_scores_codex":[0.9978985,0.0005027973,0.0003139728,0.0006907607,0.000274201,0.0003198204],"domain_scores_gemma":[0.9974884,0.0003481669,0.0002377865,0.001377322,0.000446957,0.0001013678],"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":[0.000003359085,0.0002672612,0.03262152,0.00001673952,0.00005292836,2.378689e-7,0.009592485,0.000001853595,0.00004118474,0.8853776,0.003013699,0.0690111],"study_design_scores_gemma":[0.0005275147,0.00005420993,0.1720383,0.0001199357,0.00005024462,0.00006314304,0.09118779,0.008659045,0.0003131498,0.4380227,0.2882708,0.0006931175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3887009,0.001601861,0.00284233,0.6047585,0.0008304911,0.000443873,0.00001705259,0.00009438461,0.0007105999],"genre_scores_gemma":[0.9242887,0.002112361,0.06765485,0.004025393,0.0004088177,0.00008969382,0.000173483,0.00001295964,0.001233782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6007331,"threshold_uncertainty_score":0.9988087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08682482949232792,"score_gpt":0.3798830833886125,"score_spread":0.2930582538962846,"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."}}