{"id":"W7133073938","doi":"","title":"Toronto's Housing Crisis: An Intersectional Politics of Housing and Settlement Services for Refugees","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Citizenship; Settlement (finance); Immigration; Politics; Intersectionality; Context (archaeology); Renting","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":[0.001491057,0.0003597974,0.0003943208,0.0009958579,0.0364042,0.0121357,0.001153848,0.001608788,0.008090133],"category_scores_gemma":[0.002071953,0.000439577,0.0003077903,0.002688755,0.02336456,0.003037061,0.009068868,0.003276645,0.0002698674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1282128,"about_ca_system_score_gemma":0.09558553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805363,"about_ca_topic_score_gemma":0.9932547,"domain_scores_codex":[0.9970136,0.0007000687,0.00005702479,0.0002005669,0.0004176763,0.001611041],"domain_scores_gemma":[0.9981699,0.0003132907,0.0001379433,0.00006649421,0.0003027495,0.001009709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007052295,0.00001724742,0.02081085,0.0001978197,0.00002177469,0.002627263,0.8081411,0.000326632,0.0007276293,0.1193264,0.02857294,0.01915983],"study_design_scores_gemma":[0.000004610945,0.00001086551,0.01740519,0.0001971237,0.00001121619,0.0001870007,0.8784775,0.0001063798,0.0001031402,0.001633337,0.101837,0.00002668054],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7608202,0.01003117,0.001160519,0.07658258,0.0005137963,0.00007679281,0.0004923137,0.00004828186,0.1502744],"genre_scores_gemma":[0.9813247,0.00274679,0.0003158156,0.001742275,0.00003642808,0.00002029817,0.00006024848,0.00002719152,0.0137262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282128,"threshold_uncertainty_score":0.9302531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288413096349779,"score_gpt":0.3953336285893193,"score_spread":0.3624494976258215,"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."}}