{"id":"W4411296355","doi":"10.1002/eet.2168","title":"Rethinking Knowledge Cumulation: Foregrounding Epistemic Justice in Environmental Governance Research","year":2025,"lang":"en","type":"article","venue":"Environmental Policy and Governance","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Foregrounding; Corporate governance; Environmental justice; Environmental governance; Discipline; Sociology; Economic Justice; Epistemology; Process (computing); Limiting; Knowledge management; Engineering ethics; Political science; Computer science; Social science; Business; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.2333518,0.001125969,0.002320165,0.009816591,0.01911727,0.03731163,0.006493103,0.01452674,0.003154472],"category_scores_gemma":[0.2430663,0.001447792,0.002032278,0.005607824,0.2253931,0.06082879,0.04863567,0.01931864,0.0005151348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01988312,"about_ca_system_score_gemma":0.02252358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576905,"about_ca_topic_score_gemma":0.003617381,"domain_scores_codex":[0.7776949,0.1795143,0.008950059,0.01197239,0.01548909,0.006379134],"domain_scores_gemma":[0.552121,0.3721276,0.0176566,0.03835707,0.01469026,0.005047468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001938592,0.00001913586,0.0004115349,0.0001428071,0.00001561878,0.0001095111,0.03168237,0.0002948068,0.0001273692,0.958702,0.0004533336,0.008022187],"study_design_scores_gemma":[0.00001463036,0.00001666108,0.0001692325,0.0004788363,0.00002008966,0.00006882931,0.008415361,0.0007467718,0.0003850651,0.9781612,0.01150037,0.00002292234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08236373,0.01250833,0.4999792,0.2560729,0.001925048,0.0004235487,0.00005660963,0.0003195879,0.146351],"genre_scores_gemma":[0.9609441,0.00125644,0.02970357,0.005792835,0.0005038007,0.0003109352,0.00001601573,0.000126494,0.001345679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9808827,"threshold_uncertainty_score":0.9454138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05565068050346356,"score_gpt":0.3914780219257307,"score_spread":0.3358273414222672,"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."}}