{"id":"W7149214400","doi":"","title":"The Faces of Bureaucracy: A multi-method study of civil servant stereotypes and their consequences","year":2025,"lang":"en","type":"dissertation","venue":"Utrecht University Repository (Utrecht University)","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil servants; Civil servant; Affect (linguistics); Civil service; Socioeconomic status; Job satisfaction; Survey data collection; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008708966,0.0002694734,0.0005215382,0.0006576988,0.001768858,0.00008186063,0.001147378,0.0003956871,0.0000284068],"category_scores_gemma":[0.0002264026,0.0002425817,0.0001650124,0.001168481,0.0007885284,0.000330938,0.0001782923,0.0004503471,6.665726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219958,"about_ca_system_score_gemma":0.002639508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02673242,"about_ca_topic_score_gemma":0.1226636,"domain_scores_codex":[0.9966845,0.001669612,0.0003183255,0.0004915081,0.0004863644,0.0003496894],"domain_scores_gemma":[0.9968189,0.001370957,0.0006242579,0.0004062387,0.0005982817,0.000181338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.007575114,0.008077817,0.03866695,0.002545503,0.009331343,0.001618687,0.5292082,0.0001039261,0.01012328,0.2814524,0.007736532,0.1035602],"study_design_scores_gemma":[0.001572573,0.0004404049,0.003410162,0.0003508014,0.0003710765,0.000003710518,0.8223639,0.00007163474,0.003795577,0.0003456075,0.1668465,0.0004281106],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6697161,0.0003910762,0.0001108796,0.0007523744,0.000725995,0.001304228,0.0001507594,0.0001077824,0.3267408],"genre_scores_gemma":[0.6943846,0.0007158812,0.0001439979,0.00000587142,0.00003051767,5.305839e-7,0.00002696194,0.000007643592,0.304684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2931556,"threshold_uncertainty_score":0.9995307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722544671533149,"score_gpt":0.3279466915331709,"score_spread":0.2907212448178393,"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."}}