{"id":"W4367053697","doi":"10.1108/ijdrbe-10-2022-0099","title":"Standardised indicators for “resilient cities”: the folly of devising a technical solution to a political problem","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Resilience (materials science); Politics; Corporate governance; Disaster risk reduction; Originality; Dimension (graph theory); Environmental planning; Hazard; Urban resilience; Value (mathematics); Environmental resource management; Risk analysis (engineering); Business; Urban planning; Political science; Sociology; Economics; Engineering; Computer science; Geography; Civil engineering; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.1014582,0.001746043,0.00176526,0.01301871,0.004805365,0.01546015,0.003375757,0.003438692,0.005351417],"category_scores_gemma":[0.2130079,0.0009075038,0.001518869,0.01537177,0.02466183,0.02547838,0.01664699,0.01137683,0.00186688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01480436,"about_ca_system_score_gemma":0.02750425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436804,"about_ca_topic_score_gemma":0.003558498,"domain_scores_codex":[0.8711108,0.07977332,0.01219985,0.005446995,0.02947961,0.00198947],"domain_scores_gemma":[0.8107775,0.07922397,0.02072419,0.03081136,0.05571124,0.002751743],"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":[0.00004575457,0.0000732925,0.002882936,0.001073906,0.00004405389,0.00005611455,0.005961313,0.002009214,0.0006685509,0.9156054,0.01306208,0.05851741],"study_design_scores_gemma":[0.00003463417,0.0001212193,0.004433569,0.002876336,0.00006737986,0.0001420159,0.01407709,0.004613751,0.002129205,0.7876829,0.1836689,0.0001530227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02479601,0.00498612,0.78845,0.09997409,0.003726736,0.002322918,0.001799403,0.0008636851,0.07308109],"genre_scores_gemma":[0.3852604,0.003629212,0.5881985,0.007514352,0.0008616016,0.004434348,0.002025953,0.0006078093,0.007467859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1014582,"threshold_uncertainty_score":0.5365688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217624573037395,"score_gpt":0.3377902856998178,"score_spread":0.3156140399694438,"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."}}