MétaCan
Menu
Back to cohort
Record W2341957691 · doi:10.1080/02673037.2015.1132685

Homeownership, Asset-based Welfare and the Neighbourhood Segregation of Wealth

2016· article· en· W2341957691 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHousing Studies · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAsset (computer security)EconomicsWelfareDebtHousehold debtDistribution (mathematics)Neighbourhood (mathematics)Labour economicsCITESHouse priceDemographic economicsMonetary economicsMacroeconomicsMarket economy

Abstract

fetched live from OpenAlex

The asset-based welfare approach, which has foremost encouraged homeownership, has led to rising homeownership rates, house prices and household debt levels. While this shift has helped raise the net worth of some among the middle and working classes who own property, the implications for the spatial distribution of wealth in cities have not yet been explored. This paper examines the spatial implications of the rise of policies promoting asset-based welfare, by examining statistically how variables related to homeownership rates and housing prices relate to measures of urban wealth segregation among neighbourhoods. Canadian cites are used as the main case study for the empirical analysis. The findings suggest that while homeownership in general has an equalizing effect, rising rates of homeownership (and to some extent, rising house prices) are associated not with greater spatial equalization and dispersal of wealth, but instead with greater spatial segregation and concentration of wealth within cities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.039
GPT teacher head0.241
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