{"id":"W4403440144","doi":"10.1007/s10734-024-01323-w","title":"Unequal inequity and precarity: The changing demographics and career trajectories of Canadian university provosts","year":2024,"lang":"en","type":"article","venue":"Higher Education","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian College of Naturopathic Medicine; University of Toronto","funders":"","keywords":"Precarity; Demographics; Higher education; Demographic economics; Racial bias; Sociology; Political science; Demography; Economic growth; Gender studies; Economics; Racism","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003951261,0.00003982002,0.00004723098,0.0002115683,0.000421419,0.00005342731,0.00006750706,0.00005509004,0.00003329989],"category_scores_gemma":[0.00001839372,0.00003611992,0.00001479559,0.0006668791,0.0001897365,0.0001809419,0.00002426517,0.00006924548,6.477046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000650383,"about_ca_system_score_gemma":0.0006578798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2734275,"about_ca_topic_score_gemma":0.2735038,"domain_scores_codex":[0.9995152,0.0001071728,0.00004268402,0.0001061491,0.0001047159,0.0001240917],"domain_scores_gemma":[0.9997106,0.00004982145,0.00001706643,0.00005720574,0.00008377828,0.00008152643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004694646,0.00001793566,0.2216109,0.0001214745,0.0000320899,8.201717e-7,0.2187876,6.061173e-7,0.00001730651,0.550401,0.001707219,0.007298243],"study_design_scores_gemma":[0.00005099761,0.0000181659,0.6433022,0.00003802368,0.00006734401,3.551766e-7,0.09118168,0.00001000527,0.00001741029,0.002473162,0.262735,0.000105693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833658,0.001013239,0.000005701209,0.008146461,0.0006923956,0.0001338298,0.00002477172,0.00002065968,0.006597157],"genre_scores_gemma":[0.997867,0.000189949,0.00002955012,0.00007217327,0.00008483991,6.81171e-7,0.000004432994,0.000001880591,0.001749489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479279,"threshold_uncertainty_score":0.7397528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08846229563513017,"score_gpt":0.2864279619293888,"score_spread":0.1979656662942586,"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."}}