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Record W2965828240 · doi:10.24908/jcri.v6i1.9903

Multiculturalism and Diversity in Urban Revitalization

2019· article· en· W2965828240 on OpenAlex
Vanessa Rosa

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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Critical Race Inquiry · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDiversity (politics)MulticulturalismContext (archaeology)Cultural diversitySociologyRace (biology)Political scienceGeographyGender studiesAnthropology

Abstract

fetched live from OpenAlex

This article examines the uses of “diversity” in the revitalization of two public housing projects in Toronto, Canada: Regent Park and Lawrence Heights. Both revitalization plans emphasize a diversity of use, diversity of income, and diversity of culture. I argue the diversity of diversity serves as a legitimizing tool for the revitalization projects and that the use of the term is productively ambiguous and draws from the cachet of Canadian multiculturalism, without explicitly naming race and racial inequality. My analysis sheds light on tensions between the types of diversity, challenging the potential for the framework to address structural inequality via revitalization. While both diversity and mix (mixed income or diversity of incomes, for example) are generally taken-for-granted terms in planning discourse, promoting more equitable planning practices requires analyzing them more closely in context.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.121
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.048
GPT teacher head0.358
Teacher spread0.310 · 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