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Record W2136479291 · doi:10.1080/13574809.2015.1071652

Construction and reconstruction of ethnicity in retail landscapes: case studies in the Toronto area

2015· article· en· W2136479291 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Urban Design · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEthnic groupNeighbourhood (mathematics)MulticulturalismFlourishingEconomic geographySymbol (formal)GeographySociologyAnthropologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

The ethnic retail phenomenon is a highly recognizable symbol of Canada’s multiculturalism. However, very little research has examined how ‘ethnicity’ is reflected through physical retail spaces or how a neighbourhood’s ethnic identity is constructed and reconstructed through ethnic retail spaces. Interviews and surveys with key informants in four ethnic retail neighbourhoods in Toronto, Canada revealed the dynamics of changing ethnic retail landscapes, how ethnicity may\nbe physically manifested, and the complex meanings behind architectural or structural changes. The results can inform municipalities about the importance of appropriate public policies in the areas of urban design, neighbourhood identity, and economic development to help enhance the flourishing ethnic landscapes

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.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.355
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.143
GPT teacher head0.334
Teacher spread0.191 · 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