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Record W7106657756 · doi:10.1177/12063312251392394

Rethinking Moral Work in the Context of Gentrification

2025· article· en· W7106657756 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSpace and Culture · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsGentrificationNormativeContext (archaeology)NarrativeMoral disengagementWork (physics)Moral economy

Abstract

fetched live from OpenAlex

Gentrification is increasingly framed as a moral issue, where competing actors struggle to define legitimacy, justice, and belonging. This article examines how these moral narratives shape public discourse in Hochelaga-Maisonneuve, a gentrifying neighborhood in Montreal. Through a qualitative analysis of media coverage, promotional materials, and public statements, and using the Economies of Worth framework developed by Boltanski and Thévenot, we examine the types of moral justifications employed by developers and community organizations in this neighborhood. Our study shows that both sides invoke common ideals such as sustainability, community, and quality of life, yet do so in divergent ways, producing moments of moral overlap as well as deeper normative conflicts. We argue that gentrification is not only a spatial and economic process but also a moral struggle over legitimacy, responsibility, and urban belonging. Residents’ everyday ethical dilemmas, we suggest, are shaped by these broader discursive battles over what a good neighborhood ought to be.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.174

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 head0.023
GPT teacher head0.281
Teacher spread0.258 · 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