{"id":"W4411166513","doi":"10.31542/27qd3a63","title":"Teaching, Technology, and Time: Revisiting Ellen Rose’s Call for Reflection in an AI Era","year":2025,"lang":"en","type":"article","venue":"Pedagogical Inquiry and Practice","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Rose (mathematics); Deep time; Reflection (computer programming); History; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01766776,0.0007956321,0.0007967884,0.002150138,0.006970479,0.01609575,0.003556402,0.008788562,0.002488101],"category_scores_gemma":[0.02631755,0.0005514498,0.0008505839,0.002060897,0.04402445,0.02637394,0.008586204,0.01708721,0.0009333702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007980185,"about_ca_system_score_gemma":0.008823824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136086,"about_ca_topic_score_gemma":0.01724111,"domain_scores_codex":[0.9805698,0.01451981,0.0005649185,0.001196445,0.002204575,0.0009444099],"domain_scores_gemma":[0.9470947,0.04743061,0.0009143692,0.001197733,0.002362567,0.0009999988],"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":[0.000026912,0.00005200551,0.0003141915,0.0003741298,0.00001006331,0.0006203374,0.1493837,0.0003773435,0.000325524,0.7561219,0.05978609,0.03260779],"study_design_scores_gemma":[0.00001394049,0.00004696001,0.0003248804,0.00135047,0.00001056158,0.0004797017,0.05981599,0.0005662797,0.0004751317,0.1798797,0.7569842,0.00005210218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01425547,0.04114235,0.03023685,0.7974703,0.01048726,0.00009899371,0.00003308025,0.0001362327,0.1061394],"genre_scores_gemma":[0.523515,0.08870737,0.05274273,0.2330262,0.01066954,0.0005164503,0.00007507335,0.0008117669,0.08993587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01766776,"threshold_uncertainty_score":0.09343714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2513450595105244,"score_gpt":0.5580567274845407,"score_spread":0.3067116679740163,"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."}}