{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002057239,0.0005013434,0.0005108933,0.0006151704,0.02461606,0.003838044,0.001341483,0.0009013939,0.00311971],"category_scores_gemma":[0.002835719,0.0002387554,0.000290736,0.0008627084,0.005867388,0.001227819,0.005357395,0.001996418,0.0001955632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02420544,"about_ca_system_score_gemma":0.0687044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9273025,"about_ca_topic_score_gemma":0.9802476,"domain_scores_codex":[0.9985955,0.0004122273,0.00002540084,0.0001014431,0.0001946073,0.000670792],"domain_scores_gemma":[0.9971032,0.0003796833,0.000128555,0.00005097888,0.0005146225,0.001822857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007211175,0.0002255484,0.02227455,0.00007851656,0.00001173757,0.0007823645,0.9601519,0.0001035715,0.0007840623,0.0007217316,0.002619557,0.01217428],"study_design_scores_gemma":[0.00000522336,0.00005634143,0.007951984,0.00006809289,0.000007819366,0.0000476797,0.9848488,0.00007456735,0.0001176753,0.0001087514,0.006691496,0.00002164924],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948539,0.0001677181,0.00008159503,0.00114382,0.00003204328,0.00003788812,0.00002603513,0.000005543056,0.003651457],"genre_scores_gemma":[0.9966565,0.0003120237,0.0002201663,0.0004600559,0.000005136998,0.00002414281,0.0000221188,0.000006056217,0.002293709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07269746,"threshold_uncertainty_score":0.1756237,"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."}}