{"id":"W4232673207","doi":"10.32920/ryerson.14652870","title":"Examining Barriers to Municipal Underrepresentation of South Asians in Peel Region","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Representation (politics); Politics; Inclusion (mineral); South asia; Political science; Gender studies; Geography; Demographic economics; Sociology; Development economics; Ethnology; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002629306,0.0001594805,0.0002702523,0.00084295,0.004899386,0.002431289,0.0008973043,0.0004994577,0.005853422],"category_scores_gemma":[0.01152254,0.0002310564,0.0001906293,0.001815849,0.001926996,0.001741764,0.005367627,0.001264489,0.0004037971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004772051,"about_ca_system_score_gemma":0.008136679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1477941,"about_ca_topic_score_gemma":0.3175154,"domain_scores_codex":[0.9975063,0.001034387,0.00008093234,0.0001739406,0.0002535725,0.000950882],"domain_scores_gemma":[0.9946132,0.001675559,0.001514918,0.0002827677,0.0006316411,0.001281912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001977166,0.0002293782,0.5723895,0.0001769086,0.00004841133,0.0007379267,0.3790613,0.0002245299,0.001691086,0.01041195,0.001940766,0.03289054],"study_design_scores_gemma":[0.000008522723,0.00009762181,0.4651582,0.0001551616,0.0000291678,0.0001052506,0.5259602,0.00039185,0.0004874457,0.001192222,0.006397916,0.00001645671],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962723,0.00003997979,0.00008177997,0.0008197702,0.000003397638,0.00001041484,0.00002711897,0.000001507224,0.002743704],"genre_scores_gemma":[0.9989578,0.00006929495,0.00007186348,0.00009004635,0.000002516519,0.00002031209,0.00002368816,0.000002123465,0.0007625452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8522059,"threshold_uncertainty_score":0.2938678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.207598970309638,"score_gpt":0.429101905848661,"score_spread":0.2215029355390231,"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."}}