{"id":"W4306737037","doi":"10.1111/anti.12892","title":"A Platform for Art: Infrastructural Citizenship Beyond Monumentality in Toronto’s Transit Art","year":2022,"lang":"en","type":"article","venue":"Antipode","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Citizenship; Public space; Affordance; Sociology; Flourishing; The arts; Right to the city; Status quo; Politics; Power (physics); Urbanization; Elite; Public transport; Political science; Public administration; Law; Economic growth; Engineering; Economics; Architectural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009624221,0.0003645086,0.0001972134,0.001376839,0.01567479,0.01103231,0.0007608199,0.001318497,0.01547304],"category_scores_gemma":[0.001317013,0.0002436987,0.0003256714,0.001401221,0.03307301,0.003172122,0.006152927,0.001589196,0.0005433598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0256141,"about_ca_system_score_gemma":0.007739873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3417795,"about_ca_topic_score_gemma":0.6520993,"domain_scores_codex":[0.9990906,0.0003586928,0.00002261529,0.00009043029,0.0001739541,0.000263671],"domain_scores_gemma":[0.998901,0.0004051941,0.00009243698,0.0002060752,0.000115517,0.0002797348],"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":[0.00006348406,0.00001785584,0.004149264,0.00012165,0.00001163512,0.001052157,0.3831456,0.00074029,0.001024861,0.5814953,0.009856855,0.01832107],"study_design_scores_gemma":[0.00001373345,0.00005277842,0.01274917,0.0002604476,0.00003582191,0.0005603316,0.4324473,0.001159087,0.001139574,0.04481806,0.5067145,0.00004917351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.326599,0.00136046,0.005937723,0.01129543,0.0002418404,0.00004584332,0.0002068654,0.0001228545,0.6541901],"genre_scores_gemma":[0.97484,0.0001722294,0.0004978565,0.0001131145,0.00001971405,0.000009015137,0.0000180081,0.00003138027,0.02429864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6582205,"threshold_uncertainty_score":0.6795802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657342992273497,"score_gpt":0.3271061907724073,"score_spread":0.3005327608496723,"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."}}