{"id":"W4403717018","doi":"10.1080/10967494.2024.2406430","title":"Balancing speed and coordination: Senior leaders’ perspectives on civil service transformation during and after the pandemic","year":2024,"lang":"en","type":"article","venue":"International Public Management Journal","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Pandemic; Civil service; Service (business); Public relations; Political science; Management; Coronavirus disease 2019 (COVID-19); Public administration; Sociology; Business; Public service; Marketing; Medicine; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007640515,0.00008902602,0.00005726493,0.00026457,0.0004414822,0.0015187,0.0002326022,0.00002634805,0.0003602141],"category_scores_gemma":[0.00002381214,0.00006411455,0.00003395761,0.0002230881,0.0001352154,0.001099615,0.00006574742,0.0001755097,0.00001763804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273993,"about_ca_system_score_gemma":0.00001804251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002081002,"about_ca_topic_score_gemma":0.0002940518,"domain_scores_codex":[0.9988554,0.00007603331,0.0001628116,0.0001748899,0.0005518067,0.0001790287],"domain_scores_gemma":[0.9996961,0.00005348678,0.00004576055,0.00005450524,0.00008667353,0.00006342001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001446846,0.0001038832,0.01445029,0.0002817995,0.0007136075,0.0001318223,0.2348949,0.00009766944,0.00006864049,0.6720459,0.004005769,0.07306106],"study_design_scores_gemma":[0.0012081,0.00004396769,0.1195593,0.000527926,0.0001040627,0.0001237274,0.536349,0.007138864,0.000003560906,0.01222275,0.3223203,0.0003984448],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5749628,0.0005769037,0.0008921087,0.1373322,0.001037466,0.0003109416,0.000002922399,0.00008968449,0.284795],"genre_scores_gemma":[0.9899575,0.001103508,0.00002475038,0.0004577759,0.0003970917,0.000008293254,0.00000140355,0.000006229988,0.008043445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6598232,"threshold_uncertainty_score":0.9995178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775730562708305,"score_gpt":0.2867764375859024,"score_spread":0.2690191319588194,"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."}}