{"id":"W2034193381","doi":"10.1080/13549830701657455","title":"Environmental Racialization: Linking Racialization to the Environment in Canada","year":2007,"lang":"en","type":"article","venue":"Local Environment","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Racialization; Environmental justice; Sociology; Argument (complex analysis); Racism; Race (biology); Intentionality; Criminology; Gender studies; Political science; Epistemology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001088855,0.0002200851,0.0002900015,0.001689847,0.007827186,0.002329486,0.001044922,0.0004820036,0.003436044],"category_scores_gemma":[0.004363735,0.0001323223,0.000397028,0.005016881,0.002810398,0.0007324133,0.002867988,0.001159471,0.00007390147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05174566,"about_ca_system_score_gemma":0.09178278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9974119,"about_ca_topic_score_gemma":0.9985616,"domain_scores_codex":[0.9984729,0.0001975157,0.00003231516,0.000188551,0.0004321118,0.0006767737],"domain_scores_gemma":[0.9970105,0.0002964802,0.0005354819,0.0001197255,0.001356377,0.0006815245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008813346,0.0000958731,0.9268021,0.00006964674,0.0000768515,0.0003720956,0.01920496,0.001331749,0.0002991933,0.02321288,0.00472086,0.02372564],"study_design_scores_gemma":[0.00000642458,0.00001924188,0.951243,0.00009119538,0.00005268494,0.00006012272,0.03141511,0.001445832,0.0002319962,0.003429143,0.01196463,0.00004054222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716457,0.000671335,0.0006047806,0.003961978,0.00002877476,0.00003841179,0.0008324481,0.00001165484,0.022205],"genre_scores_gemma":[0.9983709,0.000235173,0.0001754581,0.0001350168,0.000003563025,0.000007048906,0.0001254264,0.000002939267,0.0009445293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05174566,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142349703203578,"score_gpt":0.249551350980872,"score_spread":0.2381278539488362,"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."}}