{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083985,0.00009586552,0.0001579382,0.0002804048,0.0001229782,0.0001322576,0.0003034582,0.00007093455,0.00002089295],"category_scores_gemma":[0.0003005801,0.00007630422,0.00008276547,0.00031384,0.0002523279,0.001408476,0.0001598948,0.0003013949,9.778258e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487528,"about_ca_system_score_gemma":0.00003807343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003817256,"about_ca_topic_score_gemma":0.0006345399,"domain_scores_codex":[0.9984359,0.000304477,0.0005844651,0.0001103656,0.0004324139,0.0001323954],"domain_scores_gemma":[0.9987569,0.0001875583,0.0007778015,0.0000568334,0.0001985642,0.00002235421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009106848,0.000168162,0.1194043,0.00001498307,0.000139254,0.000001541218,0.07759198,0.002679464,0.0001312084,0.0113904,0.0002103719,0.7873576],"study_design_scores_gemma":[0.001601394,0.00009493981,0.8481676,0.0005123868,0.00007188274,0.000009434685,0.1289428,0.004568256,0.0001434791,0.01199538,0.003730641,0.000161799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869051,0.0001748123,0.001850267,0.0007959391,0.00162329,0.0002614582,0.000008749577,0.000004453138,0.008375954],"genre_scores_gemma":[0.999072,0.0004407912,0.00003705691,0.00001600948,0.0002849831,0.00001381786,0.00000281422,0.00000346372,0.0001291176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7871959,"threshold_uncertainty_score":0.3111596,"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."}}