{"id":"W3002557925","doi":"10.1016/j.geoforum.2020.01.007","title":"Between deficit rains and surplus populations: The political ecology of a climate-resilient village in South India","year":2020,"lang":"en","type":"article","venue":"Geoforum","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychological resilience; Politics; Political ecology; Resilience (materials science); Climate resilience; Environmental resource management; Climate change; Geography; Political science; Sociology; Ecology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000209411,0.0001113255,0.0002030165,0.000009392413,0.0001931255,0.00001945823,0.0001525205,0.00009756826,0.0000597515],"category_scores_gemma":[0.00007866837,0.00003325402,0.00004343786,0.0002639983,0.00006180831,0.00003778805,0.0002885946,0.0001089743,0.0000189669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002187066,"about_ca_system_score_gemma":0.000008394361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355477,"about_ca_topic_score_gemma":0.000806321,"domain_scores_codex":[0.9986123,0.00007245498,0.0002741438,0.0002025966,0.000135386,0.0007031172],"domain_scores_gemma":[0.9996232,0.000130649,0.00007182317,0.00003194126,0.00002377917,0.0001186105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000012534,0.00001524969,0.9735218,0.000007390795,0.000005640942,0.000003117039,0.0003676912,0.000004460745,0.0001196907,0.02445933,0.0001199197,0.00136323],"study_design_scores_gemma":[0.000137909,0.0001124402,0.9933096,0.000007926879,0.000008251973,0.000002220673,0.002685545,0.00001440532,0.0000800969,0.002962944,0.0005824921,0.00009620532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924167,0.00005368189,0.000001395995,0.00669877,0.00003896776,0.0002517723,0.0001115182,0.00002128268,0.0004058916],"genre_scores_gemma":[0.9990194,0.00001081475,0.00004058587,0.0007272509,0.00009024968,0.00001152403,0.00008480795,7.272588e-7,0.00001466527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02149639,"threshold_uncertainty_score":0.1485385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678645136519925,"score_gpt":0.2266002384977247,"score_spread":0.1998137871325255,"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."}}