{"id":"W4234645970","doi":"10.32920/ryerson.14652414","title":"Toronto’s Not-So-“Smart” City: Dismantling the Tech Utopia & Building Stronger Communities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McMaster University; York University","funders":"","keywords":"Smart city; Postmodernism; Sociology; Democracy; Equity (law); Narrative; Feminism; Power (physics); Utopia; Intersectionality; Gender studies; Political science; Public relations; Politics; Engineering; Law; Epistemology; Internet of Things","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022545,0.0003458081,0.0002242921,0.0007468591,0.01758457,0.008953254,0.000855301,0.001533979,0.008071683],"category_scores_gemma":[0.002777883,0.0002331592,0.0002526979,0.001047128,0.01940432,0.004649552,0.007204926,0.001580978,0.0006950986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02874118,"about_ca_system_score_gemma":0.04043077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4872494,"about_ca_topic_score_gemma":0.7747905,"domain_scores_codex":[0.9981845,0.000781371,0.00002444593,0.0001912171,0.0004304602,0.0003880026],"domain_scores_gemma":[0.997588,0.0006798901,0.0001459201,0.0003614638,0.00034952,0.0008751936],"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":[0.00006158464,0.00002933614,0.006085305,0.0001993269,0.00001576431,0.0007499254,0.2235111,0.001150597,0.001354454,0.6717813,0.04947302,0.04558837],"study_design_scores_gemma":[0.00001209284,0.00003641922,0.004246783,0.0001741613,0.00001797116,0.0001329584,0.1508323,0.0008086066,0.00105453,0.03004323,0.8126116,0.00002936954],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3796721,0.003390169,0.01852719,0.06645218,0.0008229686,0.0001604194,0.0003383921,0.0003368344,0.5302999],"genre_scores_gemma":[0.9409826,0.001076429,0.004549747,0.001656323,0.00004809379,0.00005562942,0.0001078282,0.0000970908,0.05142624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9824154,"threshold_uncertainty_score":0.9688265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532905273191533,"score_gpt":0.2510003392948325,"score_spread":0.2156712865629171,"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."}}