{"id":"W2799704892","doi":"10.1177/0950422218768205","title":"The rigour–relevance gap in professional programmes","year":2018,"lang":"en","type":"article","venue":"Industry and Higher Education","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Alberta; University of Calgary; Mount Royal University","funders":"","keywords":"Rigour; Relevance (law); Context (archaeology); Engineering ethics; Professional development; Public relations; Sociology; Political science; Higher education; Pedagogy; Epistemology; Engineering; Law","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":[0.0003879723,0.00006002897,0.00004921236,0.00002700358,0.0007261335,0.0001018229,0.0001158615,0.0001582937,0.0003376558],"category_scores_gemma":[0.00005779566,0.00004484235,0.000009265571,0.0002724727,0.0002969465,0.0001836877,0.00001541324,0.0002226754,0.00005385153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009662575,"about_ca_system_score_gemma":0.001233181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007278473,"about_ca_topic_score_gemma":0.0008276947,"domain_scores_codex":[0.9992211,0.00009075664,0.0001336106,0.000144694,0.000201719,0.0002081534],"domain_scores_gemma":[0.9995596,0.00009090675,0.0000713708,0.00009192367,0.0001104147,0.00007574193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002166972,0.0003293694,0.3109123,0.00000735818,0.000007578793,3.561163e-7,0.0239836,1.245706e-7,0.00001526695,0.3331555,0.1559871,0.1755797],"study_design_scores_gemma":[0.00004338317,0.00000683459,0.3577213,0.00002639332,0.000001030704,2.241325e-7,0.002008797,1.163726e-7,0.00001878318,0.007029554,0.6330974,0.00004622844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870059,0.0008176138,0.000001113736,0.06023048,0.007172592,0.0003111273,7.872556e-7,0.00003233253,0.06137495],"genre_scores_gemma":[0.8398628,0.00008770041,0.0001564745,0.0006907376,0.001365848,0.000111416,0.00000195759,0.00000372435,0.1577194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4771102,"threshold_uncertainty_score":0.5584905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236192092461133,"score_gpt":0.3822015691589027,"score_spread":0.3498396482342914,"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."}}