{"id":"W7042942879","doi":"","title":"Revisiting Toronto’s Growth Machine (1990s 2020s): From a neoliberal regime to a regime of \"throwntogetherness\"","year":2025,"lang":"en","type":"other","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Backlash; Legislature; Power (physics); Field (mathematics); Neoliberalism (international relations); Government (linguistics); Plan (archaeology); Order (exchange); Urban politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808728,0.0003676139,0.0001999212,0.0008827363,0.00689516,0.00868473,0.0008886255,0.002372648,0.006414832],"category_scores_gemma":[0.002807625,0.0002471379,0.0002115145,0.001252293,0.006011882,0.002656734,0.00281698,0.002884823,0.0006731385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1035217,"about_ca_system_score_gemma":0.06119958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9072503,"about_ca_topic_score_gemma":0.9482827,"domain_scores_codex":[0.9983608,0.0001752876,0.00003821934,0.0001456876,0.0006342827,0.0006458038],"domain_scores_gemma":[0.9984671,0.0002132211,0.0001013152,0.00008136576,0.0004419122,0.0006949657],"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":[0.00008972222,0.00002626119,0.006137623,0.0001532273,0.00001035478,0.0003793289,0.0253895,0.001231394,0.000663113,0.6138022,0.3082821,0.04383519],"study_design_scores_gemma":[0.0000131402,0.00002912238,0.02155868,0.00009896875,0.000006801481,0.00004276441,0.00713108,0.0006160651,0.0005491878,0.007791355,0.9621297,0.00003311228],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1907773,0.01460154,0.002740493,0.2995525,0.003056044,0.0001077441,0.003366982,0.0003437783,0.4854536],"genre_scores_gemma":[0.8878973,0.004118687,0.001511665,0.009063753,0.0004337617,0.0000689376,0.0009443778,0.0001543637,0.09580711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1035217,"threshold_uncertainty_score":0.7511057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008193141411338792,"score_gpt":0.208595210011399,"score_spread":0.2004020686000602,"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."}}