{"id":"W4408828979","doi":"10.2139/ssrn.5171419","title":"From Bureaucratic Closure to Algorithmic Governance: AI and the Neo-Weberian Crisis of the Professions","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"OceanWorks International (Canada)","funders":"","keywords":"Bureaucracy; Closure (psychology); Corporate governance; Political science; Sociology; Public administration; Law and economics; Law; Economics; Management; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01302806,0.0004467212,0.0008684099,0.001922388,0.005170261,0.01210248,0.001439655,0.00484626,0.008749737],"category_scores_gemma":[0.02377668,0.0004245152,0.0005093378,0.001831561,0.05267578,0.01948134,0.005523078,0.007169259,0.0007844174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00759445,"about_ca_system_score_gemma":0.00813606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005534044,"about_ca_topic_score_gemma":0.003690899,"domain_scores_codex":[0.994664,0.002858366,0.0001784015,0.0007402031,0.0009166851,0.0006422837],"domain_scores_gemma":[0.9793927,0.01352181,0.001563649,0.002685604,0.001576329,0.001259998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009540508,0.000007201965,0.00007916638,0.00001118522,0.00000170614,0.000008436967,0.0006493648,0.00033598,0.00002051825,0.9961483,0.0007583259,0.001970248],"study_design_scores_gemma":[0.00000692596,0.000002249028,0.00005419118,0.00001939069,5.85524e-7,0.000004922913,0.0002498695,0.0005127196,0.00002436588,0.9949811,0.004139976,0.000003607971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1190537,0.008218194,0.1146823,0.2698073,0.0009784051,0.00009049005,0.00016952,0.0002149683,0.486785],"genre_scores_gemma":[0.9825817,0.001217545,0.004038907,0.002515791,0.0004773932,0.00006293687,0.00002679985,0.00005545908,0.009023475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9948297,"threshold_uncertainty_score":0.06889975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00273742358858993,"score_gpt":0.2360238256420404,"score_spread":0.2332864020534505,"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."}}