{"id":"W4248156340","doi":"10.1080/21693293.2017.1353196","title":"Negotiated resilience","year":2017,"lang":"en","type":"article","venue":"Resilience","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Cape Town; Social Sciences and Humanities Research Council of Canada; University of British Columbia; Economic and Social Research Council; Department for International Development, UK Government","keywords":"Negotiation; Resilience (materials science); Process (computing); Politics; Epistemology; Sociology; Common ground; Power (physics); Political science; Computer science; Social science; Law; Communication","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":[0.01600876,0.001004689,0.0007363675,0.002327621,0.00700849,0.01092761,0.003481445,0.005525006,0.01901456],"category_scores_gemma":[0.02759277,0.000504328,0.001148736,0.001827829,0.04297062,0.01788073,0.02544499,0.006726891,0.002564725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008270749,"about_ca_system_score_gemma":0.008454804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372753,"about_ca_topic_score_gemma":0.002057203,"domain_scores_codex":[0.9806966,0.01029082,0.0009471958,0.002814052,0.003282669,0.001968677],"domain_scores_gemma":[0.9909995,0.003728123,0.001116447,0.001996348,0.001219448,0.0009401981],"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":[0.000007202891,0.000006834326,0.0001858557,0.000066596,0.00001073463,0.000132528,0.008677174,0.0004795443,0.000124997,0.98257,0.001855032,0.005883548],"study_design_scores_gemma":[0.000007235261,0.00002125128,0.0002769648,0.0004122787,0.00001294569,0.0002917007,0.01412357,0.0008764741,0.0002369092,0.8226214,0.1610855,0.00003359839],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02542232,0.003461463,0.1870781,0.04611477,0.00100942,0.0003676102,0.0002038146,0.000225422,0.7361172],"genre_scores_gemma":[0.9230098,0.002227977,0.02560733,0.004816453,0.0002209201,0.0004623678,0.0002294164,0.0002180572,0.04320761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901456,"threshold_uncertainty_score":0.08466345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435608049799034,"score_gpt":0.3466218909886923,"score_spread":0.322265810490702,"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."}}