{"id":"W7113319131","doi":"","title":"Personnel is Policy: Exploring Social Markers of Career Advancement for Current Ontario Public Service Senior Executives","year":2025,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meritocracy; Bureaucracy; Diversity (politics); Public service; Human capital; Social capital; Service (business); Portfolio; Empirical research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329195,0.0001305164,0.0001674107,0.001552927,0.003742644,0.002338316,0.0004977009,0.0003027358,0.004555646],"category_scores_gemma":[0.005834479,0.0001242654,0.0001151468,0.001904255,0.001200246,0.0009682969,0.001781329,0.0006055566,0.0004250151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0118845,"about_ca_system_score_gemma":0.02166828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6970288,"about_ca_topic_score_gemma":0.8830976,"domain_scores_codex":[0.9989834,0.0001673893,0.00002884176,0.00005604969,0.0003064609,0.0004579202],"domain_scores_gemma":[0.9943221,0.0006398197,0.001414757,0.0001468803,0.001353774,0.002122717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003772983,0.00007370191,0.9448833,0.00001965923,0.000008716912,0.0000868531,0.0330209,0.00006576499,0.000119358,0.0009104015,0.002356289,0.01841736],"study_design_scores_gemma":[0.00000282692,0.00003747538,0.914896,0.00003382859,0.000003606435,0.00001869497,0.07830935,0.0001952451,0.00003545027,0.0002353676,0.00622492,0.000007243135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930888,0.00004911665,0.00005317836,0.0008776694,0.000006273682,0.00001064403,0.0001590296,0.000001950993,0.005753278],"genre_scores_gemma":[0.997084,0.00007283323,0.00005357771,0.0000612204,0.000005165213,0.00001146229,0.0001359722,0.000001853492,0.002573995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3029712,"threshold_uncertainty_score":0.609511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951426914879918,"score_gpt":0.2063944727058549,"score_spread":0.1468802035570557,"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."}}