{"id":"W1781099796","doi":"10.1111/cag.12025","title":"The whiteness of green: Racialization and environmental education","year":2013,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Indigenous and Place-Based Education","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"White privilege; Racialization; Colonialism; Sociology; Gender studies; Wilderness; Narrative; Indigenous; White (mutation); Reification (Marxism); Innocence; Privilege (computing); White supremacy; Environmental ethics; Racism; Politics; Political science; Law; Race (biology); Ecology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002468107,0.0002740755,0.0002219291,0.001136492,0.02862644,0.00615108,0.0006923391,0.0008930231,0.00454277],"category_scores_gemma":[0.002397556,0.0001251947,0.0001339677,0.001580296,0.03099906,0.002190395,0.00530926,0.001992158,0.0001668581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02368338,"about_ca_system_score_gemma":0.03782499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7750409,"about_ca_topic_score_gemma":0.9196713,"domain_scores_codex":[0.9973716,0.001177614,0.00002541222,0.0001400477,0.0004572847,0.0008281082],"domain_scores_gemma":[0.9986418,0.0004895501,0.0001686009,0.00004697639,0.0002392169,0.0004139898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001187815,0.00003444423,0.003539339,0.00005372281,0.000002720949,0.0002071492,0.86976,0.00006526655,0.0002809802,0.1056603,0.002961384,0.0174228],"study_design_scores_gemma":[0.000002471636,0.00001295121,0.007716457,0.0001839997,0.000006838609,0.00006466554,0.8283709,0.00004904547,0.0002621841,0.008318255,0.1549958,0.00001649038],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5779203,0.003837305,0.001293206,0.02435154,0.0002511647,0.00003924844,0.00004140818,0.00002541206,0.3922405],"genre_scores_gemma":[0.9807338,0.001033928,0.0002655122,0.001306286,0.00001727372,0.000009221186,0.000008548862,0.00001469668,0.01661083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2249591,"threshold_uncertainty_score":0.4525678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004592681391440831,"score_gpt":0.1963461200420395,"score_spread":0.1917534386505987,"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."}}