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Municipally managed gentrification in South Parkdale, Toronto

2004· article· en· W2103079974 on OpenAlexvenueaboutno aff
Tom Slater

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGentrificationDisinvestmentNeighbourhood (mathematics)Context (archaeology)Affordable housingEconomic growthLegislationPolitical scienceSociologyGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

Earlier studies of Canadian inner‐city gentrification, especially in Toronto, project an image of the process as being emancipatory: a middle‐class reaction to the oppressive conformity of suburbia, modernist planning and market principles. This paper, a case study of gentrification in South Parkdale, Toronto, questions this image by illustrating the role of local context in theory and policy and the consequences of gentrification for vulnerable inner‐city populations. Once a desirable residential neighbourhood, South Parkdale experienced disinvestment following the construction of the Gardiner Expressway in the 1960s and also experienced further problems in the 1970s and 1980s following the deinstitution‐alisation of psychiatric patients from adjacent hospitals. Discharged patients suffered from a shortage of affordable housing options, and many ended up in substandard rooming houses and bachelorettes, of which South Parkdale has a disproportionate share in Toronto. The neighbourhood's sporadic gentrification since the mid‐1980s has intensified in recent years, as the City of Toronto is regularising and licensing the neighbourhood's low‐income housing—a major concern for tenants who fear that landlords will use recent provincial legislation on tenancy to attract wealthier residents into their improved buildings. This paper examines this situation with qualitative evidence and argues that gentrification in South Parkdale, driven and managed by neoliberal policy, is far from an emancipatory process and argues for an interpretation of gentrification that looks beyond the experiences of the middle classes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.069
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.006
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.218
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations198
Published2004
Admission routes2
Has abstractyes

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