{"id":"W4392894125","doi":"10.32920/25417396","title":"Integrating Equity, Diversity, and Inclusion Into Canadian Cultural Planning","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health; Simon Fraser University","funders":"Mitacs","keywords":"Equity (law); Inclusion (mineral); Placemaking; Scope (computer science); Cultural diversity; Cultural heritage; Urban planning; Diversity (politics); Sociology; Public relations; Political science; Social science; Urban design; Engineering; Computer science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01302836,0.0005624606,0.0006028336,0.005289341,0.03509176,0.01709908,0.002423534,0.001036708,0.004925578],"category_scores_gemma":[0.01619232,0.0005216631,0.0006143097,0.01097949,0.02127378,0.004437455,0.01584183,0.003148864,0.000162152],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.212882,"about_ca_system_score_gemma":0.4265191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920629,"about_ca_topic_score_gemma":0.9967473,"domain_scores_codex":[0.9860204,0.003642806,0.0003750761,0.0006624812,0.005259652,0.004039505],"domain_scores_gemma":[0.9866491,0.00284276,0.0005646147,0.0007416505,0.005531175,0.003670755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005997458,0.0001005543,0.07580195,0.0004923483,0.00006345456,0.0005052392,0.2160169,0.001913391,0.0004733186,0.3053736,0.02295319,0.3762461],"study_design_scores_gemma":[0.00001986961,0.00007097938,0.151321,0.001643287,0.0001217706,0.0002420682,0.4419,0.002703167,0.001005701,0.0918697,0.3088969,0.0002056352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3668352,0.009153052,0.01487761,0.06864037,0.0004182125,0.0005794137,0.0007170392,0.0001748363,0.5386043],"genre_scores_gemma":[0.9778437,0.002232511,0.009202488,0.001141763,0.00002312587,0.00008220741,0.0001272632,0.00003554535,0.009311452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.212882,"threshold_uncertainty_score":0.9129453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113273308385214,"score_gpt":0.3711041865539385,"score_spread":0.2578308781687245,"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."}}