{"id":"W4410736094","doi":"10.1016/j.ijdrr.2025.105612","title":"Fostering effective intersectional disaster risk governance in Dominica: the role of social networks and trust in information dissemination","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Corporate governance; Business; Risk governance; Information governance; Information Dissemination; Public relations; Environmental planning; Sociology; Political science; Information system; Geography; Computer science; Law; World Wide Web; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002675543,0.0002128837,0.0001524042,0.001159485,0.004717773,0.005078189,0.0007558989,0.0006262145,0.005572231],"category_scores_gemma":[0.01073716,0.0001613226,0.000128283,0.000889882,0.002782953,0.002766412,0.005216363,0.0009536989,0.0002402712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006243054,"about_ca_system_score_gemma":0.01475296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1120687,"about_ca_topic_score_gemma":0.2048322,"domain_scores_codex":[0.9989089,0.0005417517,0.00002944759,0.00009041738,0.0001162751,0.0003133474],"domain_scores_gemma":[0.9942584,0.002471586,0.0007056377,0.0004476328,0.0007683424,0.001348226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006352189,0.001082635,0.3665606,0.0003777759,0.0001296622,0.00220342,0.2125421,0.004357406,0.01243855,0.1104986,0.01102048,0.2781537],"study_design_scores_gemma":[0.0002972914,0.0004952058,0.3430541,0.0005745529,0.00020566,0.0004265211,0.3371986,0.02332411,0.004961751,0.06567392,0.2236457,0.0001427173],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467144,0.0001775138,0.002912554,0.004828289,0.00002403225,0.00008622529,0.0000465788,0.00008334669,0.04512702],"genre_scores_gemma":[0.9979113,0.00003374214,0.0005052286,0.00005011738,0.000003070422,0.00001470331,0.000008833109,0.000004665481,0.001468346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1120687,"threshold_uncertainty_score":0.2228328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003468560873265358,"score_gpt":0.2862093178412974,"score_spread":0.282740756968032,"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."}}