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Record W3126584782 · doi:10.26522/ssj.v15i1.2239

Social (In)justice and Rental Housing Discrimination in Urban Canada: The Case of Ethno-racial Minorities in the Herongate Community in Ottawa

2021· article· en· W3126584782 on OpenAlexaffvenueabout
Joseph Mensah, Daniel Tucker-Simmons

Bibliographic record

VenueStudies in Social Justice · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsYork University
Fundersnot available
KeywordsRedevelopmentEvictionRentingLandlordGentrificationInjusticeEconomic JusticePolitical scienceSociologyPublic administrationEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

In 2015, the predominantly visible minority immigrant community of Herongate, in Ottawa, Ontario, was slated for redevelopment by its landlord, Timbercreek Asset Management. This redevelopment involved mass eviction of the incumbent tenants, demolition of the existing affordable housing and its replacement with luxury rentals, which, by all indications, are beyond the financial reach of the former Herongage tenants. This paper seeks to problematize large-scale residential real estate redevelopment in Canada and examine its impact, using the Herongate situation as a case study. Among other things, it profiles the Herongate community, its history and present redevelopment, and explores the legal framework, and the limits thereof, constraining mass evictions of this type in Ontario. The findings indicate that the selection of Herongate for redevelopment was not fortuitous; generally, racialized and immigrant communities like Herongate are disproportionately likely to be selected for large-scale redevelopment projects, and thus subjected to mass-evictions. Further results suggest that the dissolution of the Herongate community – and the attendant dislocation of its members – has exacted a pronounced social and economic toll and compounded the racial discrimination already experienced by the former Herongate residents, most of whom are visible minorities. The paper concludes with an appeal to imbue the redevelopment process with a greater regard for social justice, and a right to housing as a policy solution to address the injustice caused by real estate redevelopment.

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 score0.464
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.313
Teacher spread0.228 · 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

Citations7
Published2021
Admission routes3
Has abstractyes

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