{"id":"W4384407272","doi":"10.1002/sd.2677","title":"Enhancing community resilience to climate change disasters: Learning experience within and from sub‐Saharan black immigrant communities in western Canada","year":2023,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of Regina","funders":"","keywords":"Climate change; Extreme weather; Community resilience; Psychological resilience; Geography; Environmental resource management; Immigration; Resilience (materials science); Disaster risk reduction; Environmental planning; Political science; Environmental science; Ecology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002145088,0.0001795811,0.000219749,0.0002281961,0.001883473,0.0002123097,0.0003372109,0.0000618167,0.000014954],"category_scores_gemma":[0.000319055,0.0002022597,0.00001244178,0.0008997475,0.0001991629,0.0005436969,0.0003627199,0.0002962686,0.00001310952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302192,"about_ca_system_score_gemma":0.0006416049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9482723,"about_ca_topic_score_gemma":0.9978058,"domain_scores_codex":[0.9974732,0.0006263327,0.0004023546,0.0002207008,0.0004829921,0.0007944131],"domain_scores_gemma":[0.9989345,0.0003914326,0.0001239299,0.0002126941,0.0001701605,0.0001673005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002411337,0.00001496466,0.08371507,0.00008590575,0.000003704551,0.00002914318,0.9146271,0.0002827472,0.0001364224,0.0001453086,0.00002945681,0.000906049],"study_design_scores_gemma":[0.0001510359,0.00001840962,0.1795943,0.0002225697,0.000002240081,2.299673e-7,0.8144791,0.0001697357,0.0007216443,0.00005777254,0.004365745,0.0002172681],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981548,0.00009214713,0.00004833464,0.0006737586,0.0001102973,0.0006361871,0.000007309592,0.00009845856,0.0001787337],"genre_scores_gemma":[0.9981046,0.0003876318,0.0001898521,0.0002826866,0.00003237602,0.0002578084,0.0001007056,0.00001846731,0.000625898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100148,"threshold_uncertainty_score":0.9994159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668920680786138,"score_gpt":0.2986218570291869,"score_spread":0.2317297889505731,"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."}}