{"id":"W2085245953","doi":"10.7202/1006312ar","title":"Divides, High Rise and Boundaries","year":2011,"lang":"en","type":"article","venue":"Ethnologies","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rationalization (economics); Downtown; Zoning; Hindsight bias; Immigration; Resistance (ecology); World War II; Political science; History; Political economy; Sociology; Law; Archaeology","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":[0.001987777,0.000206724,0.0002820741,0.001212032,0.01027868,0.006386441,0.0005561578,0.001053712,0.005117811],"category_scores_gemma":[0.002769265,0.00014527,0.0001421892,0.001059873,0.06038104,0.005994275,0.007760877,0.002361066,0.0003324654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005172231,"about_ca_system_score_gemma":0.003880009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585815,"about_ca_topic_score_gemma":0.02649909,"domain_scores_codex":[0.9975333,0.001114954,0.000058257,0.000319681,0.0003821343,0.0005915379],"domain_scores_gemma":[0.9989569,0.0003756894,0.0001574019,0.0001401196,0.0001050224,0.0002647622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009801191,0.000005045986,0.000917897,0.00001307846,0.000001351844,0.00005109755,0.04000724,0.00003464041,0.0000731834,0.9520007,0.001368175,0.005517791],"study_design_scores_gemma":[0.00001612528,0.00003111274,0.005535856,0.0002268145,0.000008624466,0.0002047141,0.1596179,0.0001197388,0.0002920385,0.5114736,0.3224538,0.00001965391],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2554365,0.004285083,0.004669102,0.01931038,0.0002956606,0.00002646903,0.0000611713,0.0000352397,0.7158803],"genre_scores_gemma":[0.9901859,0.0004272202,0.0004396888,0.0005615026,0.00005171069,0.00001228341,0.00001195522,0.00001200391,0.008297831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01585815,"threshold_uncertainty_score":0.03752738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05804961543936688,"score_gpt":0.3156444824959382,"score_spread":0.2575948670565714,"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."}}