{"id":"W4281996043","doi":"10.1080/13549839.2022.2078293","title":"Development for whom?: an Indigenous environmental justice movement in Bangladesh","year":2022,"lang":"en","type":"article","venue":"Local Environment","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Environmental justice; Indigenous; Movement (music); Economic Justice; Climate justice; Political science; Environmental movement; Geography; Sociology; Environmental planning; Environmental resource management; Economic growth; Development economics; Environmental ethics; Climate change; Politics; Economics; Law; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694011,0.0002747911,0.0002593179,0.0006325099,0.01440825,0.00341594,0.0007771645,0.00155911,0.003938133],"category_scores_gemma":[0.003592228,0.0002213626,0.0001035157,0.0009215092,0.009066156,0.002831281,0.004807909,0.002216085,0.0002988053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005253187,"about_ca_system_score_gemma":0.005033968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06338917,"about_ca_topic_score_gemma":0.118456,"domain_scores_codex":[0.9978903,0.001169862,0.00005025493,0.0001689123,0.0002232781,0.0004975106],"domain_scores_gemma":[0.9983391,0.0007674891,0.0002688562,0.00006214205,0.00012643,0.0004360533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008541246,0.00002172638,0.003180443,0.00002846745,0.000001880673,0.000690045,0.9872109,0.00001467758,0.0004962882,0.004807052,0.0004623455,0.003077639],"study_design_scores_gemma":[0.000001134264,0.00001060737,0.001697727,0.00002319945,0.000001637473,0.00008791492,0.9899862,0.0000177876,0.00004840647,0.0003038691,0.007815781,0.000005644222],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728658,0.0003329309,0.0001575445,0.006090587,0.00002500642,0.00003423708,0.00001527714,0.000003758011,0.02047487],"genre_scores_gemma":[0.9938015,0.0003459009,0.0001007544,0.0007135638,0.000004900547,0.00002176292,0.00000519824,0.000003888634,0.005002643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06338917,"threshold_uncertainty_score":0.1260405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009698474429593516,"score_gpt":0.2337477070949798,"score_spread":0.2240492326653863,"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."}}