{"id":"W4281663525","doi":"10.1177/00953997221093695","title":"“No time for nonsense!”: The organization of learning and its limits in evolving governance","year":2022,"lang":"en","type":"article","venue":"Administration & Society","topic":"Foucault, Power, and Ethics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"","keywords":"Corporate governance; Contingency; Transparency (behavior); Argument (complex analysis); Certainty; Power (physics); Epistemology; Knowledge management; Sociology; Political science; Computer science; Management; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009841433,0.00004928393,0.00007217447,0.000005024156,0.0009185938,0.00003729221,0.00008882897,0.00005633761,0.0002287697],"category_scores_gemma":[0.001243264,0.0000483116,0.00003651311,0.0002634171,0.00008907818,0.0001241332,0.00002502621,0.0001834212,0.000004170482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000794425,"about_ca_system_score_gemma":0.0003960178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006941619,"about_ca_topic_score_gemma":0.0002236228,"domain_scores_codex":[0.9992,0.0001494207,0.0001494765,0.0001205641,0.0002569654,0.0001235989],"domain_scores_gemma":[0.9991675,0.0004299169,0.0001425127,0.00004566434,0.0001906941,0.00002372197],"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":[0.0001090178,0.0004285995,0.03754469,0.0002431527,0.00009417707,0.000003126379,0.6393925,0.0009023492,0.0247803,0.2460335,0.04855952,0.001909114],"study_design_scores_gemma":[0.002120869,0.001077265,0.04077364,0.0001049985,0.00009492387,0.00001064302,0.199112,0.03620415,0.004572732,0.002187814,0.7128634,0.0008775517],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956085,0.0007579549,0.0002691773,0.02463282,0.0005494923,0.001004891,0.00005188365,0.0000964971,0.01655229],"genre_scores_gemma":[0.992397,0.0002893775,0.0002105632,0.0001820251,0.0000716077,0.00001432287,0.00001507483,0.000007548384,0.006812545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6643038,"threshold_uncertainty_score":0.7065174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135510720518249,"score_gpt":0.3073184846979805,"score_spread":0.285963377492798,"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."}}