{"id":"W4391658389","doi":"10.32920/25193459","title":"Exclusions In Canadian sanctuary cities: Building More Inclusive cities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Indigenous; Immigration; Context (archaeology); Colonialism; Racism; Political science; State (computer science); Sociology; Inclusion (mineral); Economic growth; Political economy; Gender studies; Geography; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0062139,0.0007131664,0.0006845398,0.008153148,0.02743231,0.02121096,0.002754385,0.001770352,0.005123686],"category_scores_gemma":[0.01181576,0.0004304178,0.0008301835,0.01429306,0.01193391,0.007242954,0.010345,0.002655276,0.0003520452],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1397698,"about_ca_system_score_gemma":0.3297191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786442,"about_ca_topic_score_gemma":0.9924125,"domain_scores_codex":[0.9956372,0.0009755964,0.0002282666,0.0003286694,0.00147703,0.001353211],"domain_scores_gemma":[0.9880559,0.002278909,0.00100587,0.0004740443,0.00576925,0.002415917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009812215,0.00009669288,0.03399773,0.008776969,0.0001829373,0.001612313,0.2407342,0.001718047,0.0007569075,0.3247566,0.08691294,0.3003565],"study_design_scores_gemma":[0.0000167282,0.00002825174,0.03662704,0.007933556,0.0001885576,0.0002282688,0.2169567,0.000340387,0.0004084661,0.01734004,0.7198338,0.00009830237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2348042,0.1571831,0.006747004,0.1523797,0.002057499,0.0007751943,0.002837115,0.0001913014,0.4430249],"genre_scores_gemma":[0.8585027,0.1019431,0.009637766,0.008888315,0.0002084162,0.0003939773,0.001218104,0.0001154217,0.01909226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1397698,"threshold_uncertainty_score":0.9977452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814063651107514,"score_gpt":0.3361387353446157,"score_spread":0.3179980988335406,"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."}}