{"id":"W2121215492","doi":"10.47678/cjhe.v42i2.183579","title":"Post Neo-Liberalism and the Humanities: What the Repressive State Apparatus Means for Universities","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"University Challenges and Reforms","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Liberalism; Dissent; Democracy; State (computer science); Politics; Political science; Liberal education; Higher education; Sociology; Humanities; Public administration; Liberal democracy; Social science; Liberal arts education; Law; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003528635,0.000046899,0.00007052751,0.00006908102,0.001166574,0.0002402671,0.000174281,0.00003340264,0.00008600795],"category_scores_gemma":[0.00001046389,0.00002576755,0.00004906903,0.00005018709,0.0005509438,0.0009385601,0.000005729889,0.00009232092,0.000001233089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000230791,"about_ca_system_score_gemma":0.001646864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02985298,"about_ca_topic_score_gemma":0.04641461,"domain_scores_codex":[0.9995039,0.00009058281,0.00007971506,0.00003893198,0.00009056815,0.0001963533],"domain_scores_gemma":[0.9992905,0.0001039481,0.0001329404,0.00006647089,0.0002461005,0.0001600215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003702618,0.0000125359,0.0003487289,0.000008389922,0.00007021226,0.000001284072,0.7529299,0.00000744116,0.000001714733,0.2203932,0.02351039,0.002679256],"study_design_scores_gemma":[0.0001601673,0.00001283946,0.00193873,0.00001917164,0.00002793684,0.000003975917,0.31365,2.661672e-7,0.000001920339,0.002042692,0.6821083,0.00003399361],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728385,0.04812447,0.00002057994,0.1387544,0.008076712,0.0005569894,0.00002645821,0.000007595023,0.0315943],"genre_scores_gemma":[0.9061791,0.0008042467,0.00002310303,0.00178506,0.0009257187,0.000001263834,0.00000229065,0.000004815542,0.09027444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.658598,"threshold_uncertainty_score":0.9766073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380771389806793,"score_gpt":0.2774993797745432,"score_spread":0.2536916658764753,"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."}}