{"id":"W4391395169","doi":"10.1177/10780874231221469","title":"Defying Stereotypes, Populism, and Neoliberal Discourse: Municipal Agility and Innovation During COVID","year":2024,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Populism; Coronavirus disease 2019 (COVID-19); Political science; 2019-20 coronavirus outbreak; Neoliberalism (international relations); Political economy; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sociology; Public administration; Politics; Law; Virology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01663357,0.000419884,0.0006643368,0.003896871,0.01057435,0.01069907,0.001667793,0.003917225,0.002181303],"category_scores_gemma":[0.01124877,0.0001789906,0.0003269197,0.006459314,0.05079706,0.007393027,0.005827019,0.002662061,0.0001787493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03874533,"about_ca_system_score_gemma":0.03171314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3499427,"about_ca_topic_score_gemma":0.4730575,"domain_scores_codex":[0.9897963,0.006460363,0.0001932497,0.0004282645,0.001983368,0.001138402],"domain_scores_gemma":[0.9891172,0.006933039,0.001091955,0.000473306,0.001888389,0.0004961434],"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":[0.00002628381,0.0000211154,0.003369516,0.00100972,0.00003156555,0.0003611736,0.2711982,0.0002953811,0.0001338232,0.6402228,0.01666865,0.06666186],"study_design_scores_gemma":[0.00001964223,0.0000270496,0.009463012,0.005731105,0.00003675743,0.0002243846,0.2905698,0.0002574575,0.0002559226,0.06381275,0.6295511,0.00005096236],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1867443,0.3197027,0.002242165,0.2789559,0.001459424,0.00005931037,0.0001305427,0.00003959451,0.210666],"genre_scores_gemma":[0.9268318,0.05536307,0.0003989815,0.01114134,0.0003414721,0.00004272092,0.00003230297,0.0000195196,0.005828893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3499427,"threshold_uncertainty_score":0.6958116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593132618647351,"score_gpt":0.3464303172840646,"score_spread":0.3104989910975911,"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."}}