{"id":"W4384154016","doi":"10.32920/23681421.v1","title":"The underrepresentation of racialized Canadians: local level government in medium sized Canadian cities","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Australian Government","keywords":"Democracy; Government (linguistics); Population; Demographic economics; Political science; Politics; Race (biology); Representation (politics); Sociology; Geography; Gender studies; Demography; Economics; 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":[0.001494395,0.0002002697,0.0003113633,0.003608157,0.01020358,0.002756127,0.001079362,0.0004304469,0.003411007],"category_scores_gemma":[0.005877702,0.0001759481,0.0002897473,0.007083928,0.002564524,0.0005440519,0.002961322,0.0007917432,0.0001382766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03533386,"about_ca_system_score_gemma":0.04911765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881492,"about_ca_topic_score_gemma":0.9951212,"domain_scores_codex":[0.9972824,0.0002426908,0.00006075775,0.0002018542,0.0008957745,0.001316453],"domain_scores_gemma":[0.9954864,0.000401396,0.001071809,0.0002110027,0.001622695,0.001206611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108536,0.00004225622,0.8988934,0.0001247397,0.00006224374,0.0003848484,0.05171815,0.0003168573,0.0005587328,0.009868358,0.006077305,0.03184233],"study_design_scores_gemma":[0.000004809309,0.00001431402,0.9161003,0.0001195828,0.00002961524,0.00008377643,0.07383285,0.0002516729,0.0002262684,0.0004223199,0.00888759,0.00002684618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860081,0.0004902772,0.00009748747,0.001698274,0.00001757665,0.00002125967,0.0005107951,0.000006637384,0.01114953],"genre_scores_gemma":[0.9984069,0.0002749632,0.000042651,0.0001469756,0.000004052438,0.000005838255,0.0001191094,0.000002532671,0.0009970157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03533386,"threshold_uncertainty_score":0.2563663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0945056820824651,"score_gpt":0.346192631612616,"score_spread":0.2516869495301509,"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."}}