{"id":"W2216429376","doi":"10.1108/ijdrbe-08-2013-0033","title":"Social repair and structural inequity: implications for disaster recovery practice","year":2015,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Disaster recovery; Disaster risk reduction; Context (archaeology); Natural disaster; Vulnerability (computing); Resilience (materials science); Flood myth; Negotiation; Sociology; Public relations; Political science; Environmental resource management; Computer security; Computer science; Social science; Economics","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":[0.0255496,0.0004990758,0.0005843059,0.001952533,0.01174441,0.00932896,0.00287431,0.004264953,0.01364975],"category_scores_gemma":[0.0219928,0.0003639341,0.0006298093,0.001538513,0.0623583,0.0126253,0.01836983,0.006436529,0.0005807022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008391028,"about_ca_system_score_gemma":0.01828736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005516325,"about_ca_topic_score_gemma":0.007232562,"domain_scores_codex":[0.9829284,0.01369471,0.0003175102,0.0008355543,0.0009619418,0.001261774],"domain_scores_gemma":[0.977761,0.01623035,0.001294353,0.001305235,0.0009557193,0.002453161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002904413,0.0001845919,0.002933673,0.0004075029,0.00001616849,0.0005345762,0.3782644,0.0008037094,0.0001136255,0.5683531,0.004862881,0.04349679],"study_design_scores_gemma":[0.00001899343,0.00006567462,0.001300351,0.0007865409,0.000006949133,0.0003303082,0.6393853,0.0007870045,0.0001125801,0.3108633,0.0463127,0.00003029057],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2612185,0.01152696,0.05290511,0.4465895,0.001169288,0.0004354253,0.00006640489,0.0001806869,0.2259082],"genre_scores_gemma":[0.986868,0.001985457,0.004147741,0.003273691,0.00008652766,0.0001241081,0.00001141494,0.00002294579,0.003480073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0255496,"threshold_uncertainty_score":0.1351207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228463657403203,"score_gpt":0.3793107650439994,"score_spread":0.3270261284699673,"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."}}