{"id":"W4310059407","doi":"10.1016/j.ugj.2022.11.002","title":"Building new cities in the Global South: Neoliberal planning and its adverse consequences","year":2022,"lang":"en","type":"article","venue":"Urban Governance","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; McGill University","keywords":"Neoliberalism (international relations); Authoritarianism; Ideology; Deregulation; Urban planning; Political science; Economic growth; Poverty; Political economy; Sociology; Development economics; Politics; Economics; Democracy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000569639,0.0001344525,0.0001549219,0.00001688303,0.0007561778,0.00008276919,0.0005451446,0.00004247207,0.00008591534],"category_scores_gemma":[0.000288226,0.0001232835,0.00004324622,0.0004285349,0.0002318181,0.0002570952,0.0001114568,0.0002907917,0.000006062967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281055,"about_ca_system_score_gemma":0.0003454629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164869,"about_ca_topic_score_gemma":0.0009051501,"domain_scores_codex":[0.9981689,0.0002355544,0.0001852748,0.0002892734,0.0006902224,0.0004307854],"domain_scores_gemma":[0.999365,0.0001930124,0.0002142208,0.0001302431,0.00001529122,0.00008223925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007354121,0.00002423784,0.4071235,0.00001014725,0.00001521745,0.0002247103,0.1164438,0.0009940211,0.00002158482,0.3888441,0.08568795,0.0005371213],"study_design_scores_gemma":[0.0009261523,0.0001061209,0.2122037,0.0001377467,0.00002020986,0.00004811829,0.02417089,0.0002784528,0.00001729795,0.01350999,0.7480617,0.0005196125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667149,0.01177147,0.00002941425,0.004303989,0.000524198,0.0002017094,0.0001715107,0.00006650369,0.01621637],"genre_scores_gemma":[0.9909244,0.00004749681,0.0001734845,0.001355914,0.0002902908,0.00001930751,0.00000149943,0.000006932261,0.007180714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6623738,"threshold_uncertainty_score":0.9949328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973238749234292,"score_gpt":0.2844214307098855,"score_spread":0.2546890432175425,"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."}}