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Record W2015195212 · doi:10.1080/10511482.2003.9521488

The convergence of nonequity housing models in Canada: Changes to housing policy since 1990

2003· article· en· W2015195212 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

VenueHousing Policy Debate · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConvergence (economics)DecentralizationLow income housingPublic housingGovernment (linguistics)Public administrationPublic policyPrivate sectorEconomicsEconomic growthPublic economicsBusinessPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

Abstract This study examines the impact of housing policy convergence on the nonequity housing system in Ontario, Canada. Ontario has four distinct nonequity housing models— public, nonprofit cooperative, municipal nonprofit, and private nonprofit. This article argues that since 1990, housing policy in Canada, and particularly in Ontario, has become increasingly influenced by the neoconservative agenda of downsizing and decentralization of government functions found in the United States. The findings reveal that changes to housing policy have caused the convergence of nonequity housing models in the areas of management and administration. Drawing on the present findings and on an experimental project in tenant management, this article argues that the trend toward convergence will continue and will likely result in one nonequity housing model in Canada. This pattern is interpreted in light of the neoconservative agenda of both countries that emphasizes private sector solutions to housing low‐income families.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.047
GPT teacher head0.249
Teacher spread0.202 · 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