{"id":"W4293542993","doi":"10.1007/978-3-031-04013-9_17","title":"Collective Merit as an Alternative to Individual Merit in University Admissions? Some Comments on Ann Cudd’s “Merit in University Admissions”","year":2022,"lang":"en","type":"book-chapter","venue":"AMINTAPHIL","topic":"Political Philosophy and Ethics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mindset; Argument (complex analysis); Test (biology); Proxy (statistics); Psychology; Diversity (politics); Positive economics; Sociology; Actuarial science; Public relations; Social psychology; Political science; Law; Economics; Computer science; Medicine; Artificial intelligence","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":[0.01241428,0.000542325,0.001323931,0.001304427,0.02076749,0.01777845,0.004171399,0.0440246,0.01032003],"category_scores_gemma":[0.02848542,0.0006350735,0.0008240733,0.003040804,0.02970838,0.01619273,0.006131638,0.04004974,0.001892211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01339938,"about_ca_system_score_gemma":0.01354615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03541416,"about_ca_topic_score_gemma":0.1084672,"domain_scores_codex":[0.9861936,0.006824478,0.0005371163,0.001321912,0.003240323,0.001882614],"domain_scores_gemma":[0.979728,0.01412552,0.0007215829,0.0005569384,0.002777479,0.002090513],"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":[0.00001313745,0.00001699033,0.0001205462,0.00003329497,0.000003690505,0.00005471215,0.002291924,0.00006070469,0.00002898411,0.6198813,0.3736521,0.0038427],"study_design_scores_gemma":[0.0000311259,0.00001774443,0.0007748585,0.0003485502,0.000008645841,0.000112715,0.003895868,0.0002725648,0.0001351279,0.2480223,0.7463158,0.0000646474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008401392,0.002919428,0.0002790737,0.9584034,0.005544652,0.000003917823,0.000008334389,0.000006761049,0.03199436],"genre_scores_gemma":[0.08550444,0.003258153,0.0006627503,0.7983641,0.02653102,0.00007831954,0.00001464022,0.00008908721,0.08549747],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0440246,"threshold_uncertainty_score":0.09721982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08299739330319798,"score_gpt":0.3291560853906743,"score_spread":0.2461586920874763,"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."}}