{"id":"W3044054816","doi":"10.1177/1206331220944103","title":"(In)visibilizing Vulnerable Community Members: Processes of Urban Inclusion and Exclusion in Parkdale, Toronto","year":2020,"lang":"en","type":"article","venue":"Space and Culture","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Invisibility; Public space; Inclusion (mineral); Sociology; Inclusion–exclusion principle; Space (punctuation); Denial; Affect (linguistics); Vulnerability (computing); Visibility; Dimension (graph theory); Social exclusion; Criminology; Political science; Gender studies; Geography; Computer security; Politics; Psychology; Computer science; Engineering; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003677574,0.00006581978,0.0001301974,0.000007166472,0.0004602525,0.00002136455,0.00009469101,0.00008061853,0.00002186171],"category_scores_gemma":[0.0002665846,0.00005442179,0.000009183264,0.0001386443,0.00007541103,0.0003147651,0.0001785583,0.0002005493,3.404552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004223142,"about_ca_system_score_gemma":0.00004937248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04672609,"about_ca_topic_score_gemma":0.1614715,"domain_scores_codex":[0.9993564,0.0001637291,0.00009078423,0.0001152864,0.0001514935,0.0001223108],"domain_scores_gemma":[0.9997407,0.00006041313,0.00005635771,0.0000558924,0.00002559746,0.00006099942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006441586,0.00004768937,0.08446085,0.0002116333,0.000003158925,0.000005549357,0.8875068,0.00001644679,0.00156807,0.0009200222,0.02490292,0.0002924656],"study_design_scores_gemma":[0.001733232,0.0004057791,0.02578492,0.001136028,0.0000227465,0.000002034679,0.3668557,0.0002539486,0.002034146,0.003343319,0.5979023,0.0005258655],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686448,0.01210913,0.000002478621,0.00393348,0.00002982595,0.0001159463,0.000006422074,0.00001554416,0.01514236],"genre_scores_gemma":[0.9965464,0.001813412,0.00008609593,0.0002454555,0.00005686816,0.000002104068,0.000001959856,0.000003069243,0.001244594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5729994,"threshold_uncertainty_score":0.9596218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217878331953504,"score_gpt":0.2897629062475398,"score_spread":0.2679750730521894,"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."}}