{"id":"W4388741467","doi":"10.1016/j.gloenvcha.2023.102769","title":"Intervention: The invisible labor of climate change adaptation","year":2023,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autonomy; Adaptation (eye); Agency (philosophy); Climate change; Political science; Intervention (counseling); Work (physics); Redistribution (election); Power (physics); Political economy; Sociology; Development economics; Economics; Politics; Psychology; Social science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004267938,0.00010065,0.0001167125,0.00003017791,0.0004188522,0.00002089013,0.0002031003,0.00007559223,0.0004695995],"category_scores_gemma":[0.00001325974,0.00008791802,0.00007775427,0.0002694197,0.0003721083,0.0003286148,0.0001549997,0.00006851023,0.0005853914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100243,"about_ca_system_score_gemma":0.000006692614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002270306,"about_ca_topic_score_gemma":0.002402202,"domain_scores_codex":[0.9986973,0.0001300114,0.0002048175,0.0001697611,0.000408676,0.0003893982],"domain_scores_gemma":[0.99961,0.00003915273,0.0001130724,0.0001476599,0.000003059268,0.00008707138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001472389,0.0006429423,0.5260777,0.0008650456,0.00006473678,0.00002812034,0.1088738,0.00002746,0.00008702367,0.07499344,0.002588885,0.2856036],"study_design_scores_gemma":[0.0003906247,0.0001274019,0.8464178,0.0001443432,0.00004637005,0.000001100469,0.1075978,0.0001648439,0.00002653926,0.0007037732,0.04421002,0.0001694042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702234,0.005660017,0.00001049875,0.008965271,0.0008924371,0.00126155,0.001001447,0.0001475303,0.01183789],"genre_scores_gemma":[0.9674612,0.03027585,0.00003014306,0.001338371,0.0004069151,0.0002216245,0.00008707587,0.000008980888,0.0001698743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3203401,"threshold_uncertainty_score":0.7524218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07769485690640342,"score_gpt":0.3350981533372857,"score_spread":0.2574032964308822,"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."}}