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Record W4401766540 · doi:10.15402/esj.v10i2.70852

Less Talk, More Builds: The Mixed-Income Residential Tower Model of the University of Winnipeg Community Renewal Corporation

2024· article· en· W4401766540 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative and Sustainable Housing Initiatives
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsCorporationTowerRand corporationSociologyBusinessGeographyEconomicsManagementFinanceArchaeology

Abstract

fetched live from OpenAlex

The search for and replication of scalable models for affordable housing amid North America’s housing insecurity crisis has been frustratingly slow. Governments are flailing—and, so far, failing—as they try to put in place the necessary policies and incentives for the private, public, and non-profit sectors to accelerate the construction of the millions of new affordable units required to confront the crisis. This paper highlights one model whose replication is underway in Winnipeg’s downtown core: that of a mixed-income, mixed-use residential tower offering nearly half of its units at affordable rental prices for marginalized residents and designed, built, and managed with a deep commitment to multi-dimensional sustainability. The catalyst for this initiative is the University of Winnipeg Community Renewal Corporation (UWCRC), a non-profit foundation that works in partnership with community organizations and is now Winnipeg’s leading social real estate developer. The Corporation is the second component of the model. While there are no perfect strategies for solving the housing crisis, UWCRC’s approach deserves to be widely known, deeply studied, and rapidly adapted and replicated at scale by universities, colleges, and other public institutions in urban centres throughout North America. Engaged scholars can play important roles in this effort.

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)0.641
metaresearch head score (Gemma)0.279
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.6410.279
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.4230.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.383
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 head0.130
GPT teacher head0.377
Teacher spread0.247 · 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