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Record W2950909578 · doi:10.32920/ryerson.14638524

Rethinking Multicultural Planning: An Empirical Study of Ethnic Retailing

2021· article· en· W2950909578 on OpenAlexaboutno aff
Zhixi Cecilia Zhuang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismImmigrationEthnic groupMetropolitan areaGeographyPolitical scienceEconomic growthEconomyArchaeologyEconomics

Abstract

fetched live from OpenAlex

The recent waves of immigration have dramatically impacted urban landscapes and economies of Canada’s largest metropolitan regions. One notable phenomenon is the rise of ethnic retail strips and centers as physical markers of increasing multiculturalism. The dynamics of ethnic retailing pose various opportunities and challenges for municipalities; yet, our knowledge of its complexities is limited and current literature on multicultural planning offers little useful guidance in planning practice. This study examines three retail strips in the inner city of Toronto, namely East Chinatown, the Gerrard India Bazaar, and Corso Italia, and one suburban Asian theme mall, the Pacific Mall in the City of Markham in an attempt to identify the role of urban planning in responding to the rise of ethnic retail neighbourhoods. The findings of the four cases indicate that urban planners have been unable to intervene actively in ethnic retail and direct its development and growth. The planning legislative structure and the lack of policy support hinder planners’ capacity to be proactive. Planners cannot work alone to build multicultural cities. This paper concludes on the importance of municipal intervention interdepartmental collaboration as useful implications for multicultural planning practice. Résumé: Les récentes vagues d'immigration ont considérablement affecté les paysages urbains et les économies des plus grandes régions métropolitaines du Canada. Un phénomène remarquable est la montée de bandes ethniques de détail et des centres en tant que marqueurs physiques de multiculturalisme croissant. La dynamique du commerce de détail ethnique posent diverses opportunités et des défis pour les municipalités, et pourtant, notre connaissance de sa complexité est limitée et la littérature actuelle sur la planification multiculturelle offre peu d'indications utiles pour planifier la pratique. Cette étude porte sur trois bandes de détail dans le centre-ville de Toronto, à savoir East Chinatown, le Gerrard India Bazaar et Corso Italia, et un centre commercial de banlieue thème asiatique, Pacific Mall dans la ville de Markham dans une tentative d'identifier le rôle des villes la planification pour répondre à la hausse des quartiers ethniques de vente au détail. Les résultats de ces quatre cas indiquent que les urbanistes ont pu intervenir activement dans ethnique détail et orienter son développement et sa croissance. La structure de la programmation législative et le manque de soutien politique entravent la capacité des planificateurs d'être proactif. Les planificateurs peuvent pas travailler seul à construire des villes multiculturelles. Cet article conclut sur l'importance de l'intervention municipale et la collaboration interministérielle comme conséquences utiles pour la pratique de planification multiculturelle.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.172
GPT teacher head0.418
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2021
Admission routes1
Has abstractyes

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