{"id":"W6981385691","doi":"","title":"EDUCATING THE MULTI-ETHNIC POPULATION ON THE MUNICIPAL BY-LAWS: CITY OF WINDSOR","year":2024,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Population; State (computer science); Diversity (politics); Internship; Relocation; Diaspora","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128731,0.0001851486,0.0001513831,0.0002695439,0.01602219,0.003211468,0.0009608836,0.00119749,0.005474309],"category_scores_gemma":[0.001400086,0.0002317355,0.000174467,0.0004664595,0.002632703,0.001750432,0.003679619,0.002127037,0.0004724256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231459,"about_ca_system_score_gemma":0.03556034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6793907,"about_ca_topic_score_gemma":0.9174615,"domain_scores_codex":[0.9991168,0.0002272246,0.00001723377,0.00006246841,0.0001282298,0.0004478635],"domain_scores_gemma":[0.9988285,0.000161895,0.0001285695,0.00004558861,0.0001706664,0.0006648286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489559,0.0005392291,0.1187959,0.0008331378,0.00003650627,0.005249065,0.4862505,0.0004612381,0.003280456,0.03014336,0.1903458,0.1639159],"study_design_scores_gemma":[0.00001090122,0.00009374532,0.1022851,0.0003680704,0.00001422447,0.0004607257,0.5487823,0.0001374448,0.0006652932,0.0008234862,0.3463148,0.00004389751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8449009,0.001753006,0.0005452909,0.06110059,0.0004958668,0.0001991772,0.0002313489,0.00004231215,0.09073155],"genre_scores_gemma":[0.9338049,0.004074852,0.001521446,0.005603358,0.0000825376,0.0001262823,0.0002455457,0.00002786023,0.05451325],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3206093,"threshold_uncertainty_score":0.6449948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07847800701316497,"score_gpt":0.3176115527516428,"score_spread":0.2391335457384778,"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."}}