{"id":"W3209119860","doi":"10.32920/ryerson.14638773.v1","title":"Ethnic Retail Neighbourhoods: Place Making and Branding","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ethnic group; Urban agglomeration; Destinations; Economic geography; Settlement (finance); Diversity (politics); Place branding; Business; Geography; Tourism; Political science","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":[0.0004245543,0.0001907728,0.0001533257,0.0005538138,0.001141308,0.00382103,0.0002651279,0.0004775098,0.0209228],"category_scores_gemma":[0.001077443,0.0001149172,0.0001510451,0.001196351,0.001479031,0.001351651,0.001201902,0.0003026403,0.001033448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781121,"about_ca_system_score_gemma":0.0003175469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513383,"about_ca_topic_score_gemma":0.004327687,"domain_scores_codex":[0.9997608,0.0001111462,0.000008897666,0.00003581433,0.00004999549,0.0000333323],"domain_scores_gemma":[0.999511,0.0001339267,0.0001258757,0.00005147092,0.00008426201,0.00009359201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007609373,0.0006546715,0.2402332,0.001229049,0.0001246243,0.002181987,0.08629715,0.002324954,0.007742918,0.268279,0.01536559,0.3748059],"study_design_scores_gemma":[0.00004094407,0.0003076063,0.4341846,0.0006971717,0.00009124349,0.00247906,0.1852176,0.002955059,0.002532667,0.2260824,0.1453286,0.00008308433],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7472996,0.003254743,0.001949673,0.001531917,0.0001145548,0.00002398352,0.0002455124,0.00002578559,0.2455542],"genre_scores_gemma":[0.9870555,0.0007004552,0.0006203749,0.00004247621,0.00002605426,0.000005439807,0.00004632337,0.000006992528,0.01149639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209228,"threshold_uncertainty_score":0.06999379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08033379702529723,"score_gpt":0.3461556557986928,"score_spread":0.2658218587733956,"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."}}