{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.179959,0.0003474195,0.001057431,0.00564682,0.006955369,0.02034441,0.002825395,0.005038353,0.007995177],"category_scores_gemma":[0.3644231,0.0007825143,0.0006687982,0.004812305,0.02350287,0.01024031,0.02127247,0.004146364,0.001317758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008625519,"about_ca_system_score_gemma":0.02150645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008525057,"about_ca_topic_score_gemma":0.001457131,"domain_scores_codex":[0.7796481,0.1547866,0.006223601,0.006316359,0.04419916,0.008826198],"domain_scores_gemma":[0.5124127,0.391422,0.01712227,0.02391503,0.02367797,0.03145008],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005669571,0.0009214175,0.05163161,0.002191289,0.0001170176,0.0006352017,0.1725741,0.001088436,0.003292506,0.4543026,0.006410506,0.3062684],"study_design_scores_gemma":[0.0004084971,0.001741154,0.1618413,0.003440976,0.00008693648,0.001176383,0.06889742,0.002603301,0.002591942,0.6291779,0.1278764,0.0001577023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4860265,0.005667928,0.04828177,0.08774173,0.0007627198,0.001085318,0.0001267753,0.0002396091,0.3700676],"genre_scores_gemma":[0.9897086,0.0003964792,0.003366835,0.001825335,0.0002880525,0.0003422212,0.00002623284,0.00004994467,0.003996275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.820041,"threshold_uncertainty_score":0.9517256,"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."}}