{"id":"W2593891022","doi":"10.1080/07294360.2017.1288704","title":"Made to measure: early career academics in the Canadian university workplace","year":2017,"lang":"en","type":"article","venue":"Higher Education Research & Development","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Higher education; Workplace learning; Measure (data warehouse); Career development; Pedagogy; Sociology; Psychology; Public relations; Political science; Work (physics); Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00436585,0.0001159501,0.000105397,0.0003799027,0.004399728,0.0006356232,0.001719591,0.0001668476,0.0005063326],"category_scores_gemma":[0.0003446177,0.000108659,0.00002309032,0.0007948405,0.000195638,0.0003444788,0.0001050013,0.0005592981,0.0008545301],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003889685,"about_ca_system_score_gemma":0.02528806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3844173,"about_ca_topic_score_gemma":0.6120553,"domain_scores_codex":[0.9965667,0.0005042757,0.000190159,0.0003500799,0.001589954,0.00079884],"domain_scores_gemma":[0.9980873,0.0001300129,0.00007655023,0.0004985622,0.0006263255,0.000581271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002351807,0.0001557179,0.4090245,0.00000856479,0.00001874069,0.00001036392,0.1573417,0.000002364868,0.00001013475,0.09668753,0.3193862,0.01733068],"study_design_scores_gemma":[0.00005213461,0.000002857946,0.4919343,0.00002865248,7.815062e-7,1.18128e-7,0.003519593,2.106464e-8,0.000009799725,0.0002456791,0.504126,0.00008012391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5435875,0.0001724806,0.000006614444,0.2219637,0.001570809,0.001181459,0.000003647686,0.00002668929,0.2314871],"genre_scores_gemma":[0.875097,0.00006413635,0.00125202,0.001507564,0.000287266,0.00009895855,0.000005876764,0.000009674711,0.1216775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3315095,"threshold_uncertainty_score":0.9999342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088938920879178,"score_gpt":0.3907849690709236,"score_spread":0.2818910769830058,"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."}}