{"id":"W4241933448","doi":"10.32920/ryerson.14663094","title":"Exploring diversity of representation in Toronto and Vancouver : political voices","year":2021,"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":"","keywords":"Elite; Politics; Representation (politics); Diversity (politics); Democracy; Categorization; Political science; Narrative; Public administration; Sociology; Government (linguistics); Public relations; Gender studies; 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":[0.002423308,0.00031136,0.0004008993,0.003452414,0.02112157,0.008715981,0.001542606,0.001044447,0.003949184],"category_scores_gemma":[0.006129441,0.0003444678,0.0001795759,0.006479954,0.007179982,0.001596597,0.005793991,0.001434625,0.0002315619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07719324,"about_ca_system_score_gemma":0.03493207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9766229,"about_ca_topic_score_gemma":0.9925944,"domain_scores_codex":[0.9957658,0.001098749,0.0000951539,0.0002857836,0.001135375,0.001619068],"domain_scores_gemma":[0.9951807,0.001499102,0.0004115651,0.0001727124,0.001354692,0.001381301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008398896,0.00002184409,0.05073675,0.00007582056,0.00001447436,0.0008918387,0.9160984,0.00013262,0.0006307053,0.009109971,0.004556555,0.01764717],"study_design_scores_gemma":[0.000003859955,0.00001393394,0.04455221,0.00006346325,0.000006596609,0.00009046214,0.9324495,0.0001357297,0.0001371484,0.0004467066,0.02208519,0.00001524292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561584,0.0005252821,0.0002294225,0.002619193,0.0000396016,0.00004276448,0.0002752996,0.000008901166,0.04010119],"genre_scores_gemma":[0.992906,0.0002949313,0.0001223806,0.0002243971,0.00001013573,0.00001962347,0.0001698013,0.00001010616,0.006242529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07719324,"threshold_uncertainty_score":0.5600787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125626646646905,"score_gpt":0.3526178882085618,"score_spread":0.2269912415616568,"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."}}