{"id":"W2611070845","doi":"10.47678/cjhe.v47i1.186493","title":"The Representation of Library Value in Extra-Institutional Evaluations of University Quality","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Accreditation; Context (archaeology); Quality (philosophy); Higher education; Value (mathematics); Sociology; Library science; Representation (politics); Public relations; Political science; Medical education; Computer science; Medicine; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04050922,0.0002654101,0.0006685581,0.01615856,0.003457832,0.02273838,0.001012222,0.001289692,0.00294494],"category_scores_gemma":[0.09896839,0.0003039012,0.0004695824,0.01523811,0.01570921,0.0157785,0.009175664,0.001905235,0.0003070544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01597138,"about_ca_system_score_gemma":0.00757118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008165566,"about_ca_topic_score_gemma":0.01339138,"domain_scores_codex":[0.9508358,0.03421327,0.001756387,0.001282581,0.01000114,0.001910831],"domain_scores_gemma":[0.805973,0.1441935,0.01712505,0.006638464,0.02287519,0.003194824],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003051404,0.0001087549,0.09724396,0.001632655,0.0002198194,0.0005757787,0.1750171,0.001222763,0.001353757,0.3229802,0.004555358,0.3947848],"study_design_scores_gemma":[0.00003850301,0.0004481735,0.2737528,0.006032974,0.0002787054,0.001031837,0.2872308,0.002691278,0.00513953,0.1985812,0.2244181,0.0003562049],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5531666,0.02333329,0.0350837,0.02002222,0.0004579808,0.00008456392,0.0003132509,0.0001940608,0.3673443],"genre_scores_gemma":[0.9952894,0.001440415,0.001234755,0.0004984407,0.0001184557,0.0000238381,0.00003117626,0.00003938114,0.001324119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9840286,"threshold_uncertainty_score":0.2142358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06367502434151419,"score_gpt":0.3826942738173902,"score_spread":0.3190192494758761,"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."}}