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Record W2967657318 · doi:10.1177/2514848619868110

Re-wilding Parkdale? Environmental gentrification, settler colonialism, and the reconfiguration of nature in 21st century Toronto

2019· article· en· W2967657318 on OpenAlexafffundabout
Jessica Parish

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGentrificationColonialismReproductionSociologyUrbanismCapitalismSocial reproductionPoliticsContext (archaeology)Political economyGender studiesGeographySocial sciencePolitical scienceEcologyEconomic growthLawArchitectureSocial capitalEconomics

Abstract

fetched live from OpenAlex

In 21st century Toronto, the labour of caring for urban trees is entangled with both gentrification processes and the social reproduction of settler colonial space. This paper contributes to the study of environmental gentrification through a study of the social reproduction of settler colonial relations to land in the Parkdale–High Park area of Toronto. Specifically, I take up the hyper-visibility of some forms of social reproduction, in order to shed light on how the mundane, quotidian ‘non-work’ of living in/with/for capitalism becomes a site of privilege and a luxury pursuit for more affluent residents. The paper highlights the processes and practices whereby settler colonial urban subjects seek out ‘nature’ as a temporary outside where they can escape from widely accepted downsides of capitalist urbanism, including a diverse array of social and physical ills, from stress, to obesity, to ecological degradation. The paper asks: whose social reproduction does the presence of urban trees serve? In the context of 21st century financialized gentrification, cities are increasingly normalized as spaces of wealth and luxury. It is therefore crucial to pay attention to the raced, gendered, and colonial micro-politics through which urban ecologies are transformed in the service of an anti-democratic vision of the city as a space of leisure and luxury.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.217
Teacher spread0.212 · 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 designObservational
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

Citations29
Published2019
Admission routes3
Has abstractyes

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