{"id":"W2955907986","doi":"10.1007/s12186-019-09227-y","title":"Hermeneutic Dimensions of Competency-Based Education and Training","year":2019,"lang":"en","type":"article","venue":"Vocations and Learning","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competence (human resources); Vocational education; Discipline; Meaning (existential); Set (abstract data type); Continuing education; Epistemology; Professional development; Engineering ethics; Psychology; Pedagogy; Sociology; Computer science; Social psychology; Medical education; Social science; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058634,0.00004993192,0.00008412772,0.00008396572,0.0005060949,0.00004871695,0.00004782201,0.00003956269,0.0001899773],"category_scores_gemma":[0.0004231959,0.00004744013,0.0000132745,0.0002333846,0.0001212256,0.0001795188,0.00001006473,0.0001673758,0.00002172319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711105,"about_ca_system_score_gemma":0.0009034664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005996415,"about_ca_topic_score_gemma":0.00009343596,"domain_scores_codex":[0.9992041,0.0003125797,0.0001204398,0.0001364746,0.0001175109,0.0001088978],"domain_scores_gemma":[0.999079,0.0005379712,0.0001310935,0.00008051696,0.0001046167,0.00006678985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007142043,0.0002163897,0.4986871,0.00008071243,0.00002571378,1.195303e-7,0.2721198,0.00168176,0.002512455,0.1205724,0.0001175881,0.1039789],"study_design_scores_gemma":[0.0002892202,0.0001033541,0.2651809,0.0001529862,0.00005053249,0.000002164754,0.1688708,0.001428262,0.00003404826,0.0007901335,0.5628764,0.0002212242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751676,0.0002839102,0.00005954101,0.00378291,0.0001808738,0.0001291878,2.924259e-7,0.00003607563,0.02035964],"genre_scores_gemma":[0.9908491,0.00006488588,0.00430071,0.0001054216,0.00004126295,0.00001094361,0.000005367633,0.000006598292,0.004615721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5627588,"threshold_uncertainty_score":0.3892524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506758509120528,"score_gpt":0.3459815752739508,"score_spread":0.3209139901827456,"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."}}