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Record W2128527803 · doi:10.1111/cag.12175

Underwriting suburbanization: The National Housing Act and the Canadian city

2015· article· en· W2128527803 on OpenAlexaffvenueabout
John Bélec

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsUnderwritingSuburbanizationMortgage insuranceCensusPromotion (chess)ScholarshipForeclosurePolitical sciencePublic administrationCorporationGeographyEconomic growthFinanceBusinessMetropolitan areaEconomicsSociologyLawDemographyInsurance policyPopulation

Abstract

fetched live from OpenAlex

An enduring theme in Canadian federal housing policy is promotion of home ownership through state‐supported institutional mortgage finance. This article studies National Housing Act (NHA) mortgage lending that occurred in Vancouver in 1951, at the outset of the post‐war era. The Canada Mortgage and Housing Corporation (CMHC) archival mortgage files, which constitute the data source for this article, have rarely been used in academic scholarship and never previously for study of NHA lending patterns. The objective of this study is twofold: (1) to provide a detailed description of such lending in Vancouver for 1951, identify trends in the data, and make comparisons with the 1951 Census; and (2) evaluate a widespread view in the literature that the NHA promoted post‐war suburbanization. The article also demonstrates the potential utility of this unique data source for the study of Canadian urban geography.

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 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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0010.000
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 head0.031
GPT teacher head0.197
Teacher spread0.167 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2015
Admission routes3
Has abstractyes

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