{"id":"W1854544819","doi":"10.47678/cjhe.v31i1.183381","title":"Fields of Plenty, Fields of Lean: The Early Labour Market Outcomes of Canadian University Graduates by Discipline","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Graduation (instrument); Bachelor; Preparedness; Earnings; Unemployment; Higher education; Psychology; Medical education; Demographic economics; Political science; Management; Accounting; Economics; Economic growth; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005153287,0.00007354357,0.0001894477,0.0003529091,0.0002009679,0.00001685065,0.0003990002,0.00009741723,0.002728732],"category_scores_gemma":[0.0001171282,0.00006170643,0.00009516471,0.0006383737,0.0002775926,0.0001507648,0.000006182321,0.0001486986,0.000001631323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285576,"about_ca_system_score_gemma":0.005111334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8832943,"about_ca_topic_score_gemma":0.9250705,"domain_scores_codex":[0.9990323,0.000154972,0.0003198722,0.00007996547,0.0001984479,0.0002144429],"domain_scores_gemma":[0.9984311,0.0001392118,0.0003128477,0.0001766862,0.0004756717,0.000464475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007962761,0.00005462912,0.8586532,0.00001105593,0.00003122582,8.734715e-7,0.01017613,0.000004347382,0.000006286168,0.004797945,0.1257679,0.0004884396],"study_design_scores_gemma":[0.00008957809,0.00003549393,0.7279913,0.00001959517,0.00002450455,8.374316e-7,0.003449731,1.590847e-7,0.00003067978,0.001578852,0.2667261,0.00005322535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485247,0.0003357055,0.000005381999,0.04358475,0.001100586,0.00009583701,0.00004689172,0.000001760694,0.006304441],"genre_scores_gemma":[0.9641769,0.00007885013,0.00006053072,0.0002454556,0.0001163263,4.686072e-7,0.000003817451,0.000004553285,0.03531313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409581,"threshold_uncertainty_score":0.9981829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241657309418891,"score_gpt":0.2929247162926243,"score_spread":0.2705081431984354,"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."}}