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Record W7055277774

Chinatown as Heterotopia: Culture and the Crisis of Commodification in Toronto's Chinatown(s)

2022· dissertation· en· W7055277774 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownHeterotopia (medicine)CommodificationGentrificationEthnic groupPopulationValue (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

This thesis studies the historical and present roles that culture plays in the formation of cities by analyzing the evolution of North American Chinatowns as heterotopias within the city throughout the cultural and social milieu of the 20th century. It proposes that Chinatowns began as a heterotopia defined by its difference in rules, customs, language and population from the rest of the city, but due to the changing role of culture in cities under post-industrialism, it is now a heterotopia defined by a theme-park like manufactured façade of cultural products, that threatens to displace communities that depend on it for survival. Concurrently, bringing together both existing sociological and ethnocultural studies of Chinatowns as ethnic enclaves as well as critical analyses of the treatment of Chinatown in film and other artifacts, it follows two contrasting ideas: the exterior perception of Chinatown, and the interior perception of Chinatown as a community. The changing relationship between these two ideas throughout time is used to explain the present-day condition of Chinatowns “losing their soul” en masse to gentrification. The thesis will draw on stories from various North American Chinatowns to establish an evolutionary theory before applying the theory to a focused case study of Toronto’s Chinatown(s). It uses archival research to uncover visual and demographic information from various stages of Chinatown’s growth, and is supported with mapping, drawing and photography. The thesis aims to contribute to a greater, historically-rooted understanding of the underlying forces of gentrification in Chinatown, as well as demonstrate the inherent value of Chinatown as a home, community and cultural space.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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