MétaCan
Menu
Back to cohort
Record W2070262352 · doi:10.1068/a39153

The Redistribution of Residential Property Values in Montreal, Toronto, and Vancouver: Examining Neoclassical and Marxist Views on Changing Investment Patterns

2008· article· en· W2070262352 on OpenAlexaffabout
Andrejs Skaburskis, Markus Moos

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsQueen's University
Fundersnot available
KeywordsMetropolitan areaReal estateMarxist philosophyCensusProperty valueInner cityCensus tractInvestment (military)Economic geographyRedistribution (election)Residential real estateGeographyDemographic economicsValue (mathematics)EconomicsSociologyEconomyDemographyPolitical scienceFinancePopulationLawArchaeology

Abstract

fetched live from OpenAlex

This study examines the changes in residential property value in Canada's three largest metropolitan areas by using shift-share and regression analysis with census tract data. The results show that the tracts that increased their share of the metropolitan areas' real estate value in one decade tend to lose that share during the next decade. After accounting for the effect of new additions, the main transfer of wealth is from the older suburban ring to both the inner city and the new suburbs. The largest variation in the growth of property value is not between the new suburbs and the inner city but across the inner-city census tracts. The shifts and cycles of investment across broad city sectors predicted by neoclassical and Marxist theory are overwhelmed by local factors.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.034
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.031
GPT teacher head0.196
Teacher spread0.165 · 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

Citations30
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueEnvironment and Planning A Economy and SpaceSame topicHousing Market and EconomicsFrench-language works237,207