{"id":"W2969529781","doi":"10.1057/s41307-019-00162-0","title":"Employment and Wage Gaps Among Recent Canadian Male and Female Postsecondary Graduates","year":2019,"lang":"en","type":"article","venue":"Higher Education Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Western University","funders":"","keywords":"Earnings; Workforce; Graduation (instrument); Wage; Demographic economics; American Community Survey; Postsecondary education; Equity (law); Gender pay gap; Liberal arts education; Higher education; Political science; Labour economics; Sociology; Economics; Economic growth; Demography; Population; Census","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002341594,0.0001289986,0.0001977887,0.0002968976,0.00008680919,0.0001202806,0.00008715849,0.00007549165,0.002102586],"category_scores_gemma":[0.00002340841,0.0001475523,0.0000255448,0.0001985628,0.0000469764,0.0001864272,0.00003887937,0.00009139822,0.0001660312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188405,"about_ca_system_score_gemma":0.0002075857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1338505,"about_ca_topic_score_gemma":0.00685559,"domain_scores_codex":[0.9990594,0.00001746132,0.0002985339,0.0003318447,0.00002510364,0.0002676503],"domain_scores_gemma":[0.9992775,0.00002382066,0.0001334493,0.0002689889,0.00003734646,0.0002589272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001903452,0.00002910429,0.6522878,0.00001937436,0.00001146239,3.562552e-7,0.0002347616,4.005802e-7,0.000004905437,0.345556,0.0005720239,0.001281916],"study_design_scores_gemma":[0.0001555405,0.0000201097,0.8101661,0.000009600431,0.000002345396,0.000002850315,0.00004540997,0.00001225504,0.000006388591,0.02917534,0.1602426,0.0001614938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374965,0.001798715,7.221545e-7,0.007330717,0.0005962577,0.0002164773,0.0001937565,0.00001298972,0.05235386],"genre_scores_gemma":[0.9665799,0.0008600854,0.00008134592,0.002055127,0.0001618515,0.00002444902,0.00006468756,0.00002072818,0.03015186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3163807,"threshold_uncertainty_score":0.9988096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993503324850499,"score_gpt":0.2530627852651596,"score_spread":0.2331277520166546,"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."}}