{"id":"W2002402862","doi":"10.1080/07294360220144114","title":"Responding to the Field and to the Academy: Ontario's evolving PhD","year":2002,"lang":"en","type":"article","venue":"Higher Education Research & Development","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Professional development; Sociology; Politics; Field (mathematics); Political science; Higher education; Pedagogy; Engineering ethics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007011859,0.0001391467,0.0002642973,0.001392382,0.02028852,0.009737929,0.00132999,0.002964296,0.007628863],"category_scores_gemma":[0.01224678,0.0003600724,0.0002703093,0.003431481,0.009922519,0.002665475,0.006685105,0.003396024,0.0007560815],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1147969,"about_ca_system_score_gemma":0.2166436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9205028,"about_ca_topic_score_gemma":0.9799336,"domain_scores_codex":[0.9925057,0.001113193,0.0002618712,0.0005470768,0.003327576,0.002244502],"domain_scores_gemma":[0.9735377,0.002065911,0.0009993411,0.0004374535,0.004114856,0.01884482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002954538,0.0001138188,0.06925635,0.000819616,0.00003998171,0.002559117,0.07090931,0.0005430052,0.002032244,0.1418188,0.4770499,0.2345624],"study_design_scores_gemma":[0.0000293223,0.00004375352,0.06158195,0.0002174031,0.00000874263,0.0002933916,0.04491623,0.0001756718,0.0001330955,0.005040478,0.8875106,0.00004929903],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1084847,0.0100082,0.0004949981,0.7600816,0.002219232,0.00004994676,0.0004435112,0.00004390159,0.1181738],"genre_scores_gemma":[0.8017003,0.01733901,0.001346572,0.05648633,0.001074537,0.00004483778,0.0001898921,0.00006876138,0.1217497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852031,"threshold_uncertainty_score":0.8329135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668495657457805,"score_gpt":0.3763293247856809,"score_spread":0.2094797590399004,"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."}}