MétaCan
Menu
Back to cohort
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 OpenAlexaffabout
Jorge Sousa, Jack Quarter

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

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.226
Threshold uncertainty score0.897

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.003
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations16
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueHousing Policy DebateSame topicHousing, Finance, and NeoliberalismFrench-language works237,207