{"id":"W2476515026","doi":"10.1007/978-94-6300-214-1_7","title":"Strengthening Resilience by Thinking of Knowledge as a Nutrient Conecting the Local Person to Global Thinking","year":2015,"lang":"en","type":"book-chapter","venue":"SensePublishers eBooks","topic":"Community and Sustainable Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Climate change; Political science; Psychological resilience; Climate resilience; Work (physics); Sociology; Environmental ethics; Geography; Psychology; Engineering; Social psychology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004709185,0.0004341307,0.0005494046,0.0001766589,0.002181418,0.0007097006,0.001602924,0.0005067084,0.0001215766],"category_scores_gemma":[0.001052202,0.0003846437,0.0002058328,0.0001764181,0.0009426342,0.0002424944,0.000675292,0.001065616,0.0000246326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856398,"about_ca_system_score_gemma":0.002750142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008556819,"about_ca_topic_score_gemma":0.006421345,"domain_scores_codex":[0.9960429,0.0004316812,0.0005649002,0.0005299944,0.001653595,0.0007769178],"domain_scores_gemma":[0.996859,0.0006605161,0.0004555315,0.0006227013,0.001034723,0.0003675536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006207545,0.0000207696,0.00001977712,0.00004988561,0.0001052028,0.0000295818,0.3114285,0.00003318243,0.000002781198,0.5880596,0.05902437,0.04116425],"study_design_scores_gemma":[0.0002246918,0.00008928343,0.000002290396,0.0004804287,0.00004685247,0.000008176403,0.1978924,0.00002147296,0.00001672476,0.0680396,0.7327657,0.0004124202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002367812,0.0009403425,0.0004815228,0.001413005,0.0006681365,0.0008005013,0.00001871975,0.0001588163,0.9931511],"genre_scores_gemma":[0.3411303,0.00001775886,0.0005013311,0.000676985,0.0003175506,0.00001754312,0.00002407534,0.00006768899,0.6572468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6737413,"threshold_uncertainty_score":0.9998605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349959367016681,"score_gpt":0.2947382650214912,"score_spread":0.2597423283198231,"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."}}