{"id":"W4386768578","doi":"10.32920/24147915","title":"Racialized leaders leading Canadian universities","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Census; Diversity (politics); Representation (politics); Inclusion (mineral); Population; Vice president; Sociology; Rhetoric; Political science; Perspective (graphical); Public relations; Gender studies; Management; Politics; Law; Demography; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002585091,0.0004302246,0.0005128952,0.003322368,0.02276783,0.006387803,0.001502238,0.0006951314,0.0094148],"category_scores_gemma":[0.00910508,0.0002794965,0.0002936557,0.005589231,0.002985033,0.001330015,0.004374411,0.001482106,0.000924276],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07182866,"about_ca_system_score_gemma":0.1405771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882564,"about_ca_topic_score_gemma":0.9948195,"domain_scores_codex":[0.9956902,0.0004090559,0.00005720843,0.0003383985,0.001199772,0.002305403],"domain_scores_gemma":[0.9905688,0.0004840759,0.0007379802,0.0002495429,0.00421089,0.003748674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003103829,0.0001263803,0.5544644,0.0003422299,0.00006412924,0.0005045343,0.1687133,0.0009974234,0.001304653,0.03413438,0.1097375,0.1293008],"study_design_scores_gemma":[0.00003588172,0.00005142951,0.5709198,0.0004946094,0.00006118733,0.0001015218,0.2516057,0.001797061,0.0006714457,0.004667044,0.1694792,0.0001151481],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112725,0.00194853,0.0008378969,0.01168181,0.0002816618,0.0001654643,0.002745305,0.00005185049,0.07101489],"genre_scores_gemma":[0.985823,0.001203809,0.0005358011,0.001285619,0.0000424048,0.0000363348,0.0008215746,0.00002548299,0.01022607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9281713,"threshold_uncertainty_score":0.5211558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08631195710194686,"score_gpt":0.3730836497347968,"score_spread":0.28677169263285,"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."}}