{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002063136,0.00005744927,0.00008362157,0.00002676653,0.0008846121,0.00007355449,0.0001207143,0.0000969894,0.00031152],"category_scores_gemma":[0.0002103727,0.0000519349,0.00001230573,0.00004430673,0.00259334,0.0002051124,0.00008703868,0.00009966663,0.00005632199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002624791,"about_ca_system_score_gemma":0.00004890901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259177,"about_ca_topic_score_gemma":0.008862047,"domain_scores_codex":[0.9994079,0.00005595888,0.00008117273,0.0001157723,0.0001009207,0.0002382736],"domain_scores_gemma":[0.9997439,0.0000795165,0.00003011226,0.00009034405,0.000007637384,0.00004852091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002316619,0.00005190734,0.1369729,0.000109343,0.00001709698,0.00001270121,0.1744678,1.921611e-7,0.00002380201,0.654228,0.006012245,0.0280809],"study_design_scores_gemma":[0.0001849589,0.0001051772,0.4098244,0.00004697472,0.00003105425,7.242947e-7,0.2874773,3.703091e-7,0.0006529709,0.08366586,0.2177906,0.000219673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365507,0.0127519,0.00003636445,0.004930404,0.0004394349,0.0001294939,0.000007114477,0.0002631984,0.04489133],"genre_scores_gemma":[0.9887529,0.008364988,0.001283946,0.0002753868,0.00005110384,0.00001278667,6.059552e-7,0.00000410598,0.00125417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705622,"threshold_uncertainty_score":0.9939834,"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."}}