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Record W2078362475 · doi:10.1080/0042098022000027095

Density Gradients in Canadian Metropolitan Regions, 1971-96: Differential Patterns of Central Area and Suburban Growth and Change

2002· article· en· W2078362475 on OpenAlexaffabout
Trudi E. Bunting, Pierre Filion, Heath Priston

Bibliographic record

VenueUrban Studies · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMetropolitan areaCentralisationCentral cityGeographyEconomic geographyDecentralizationDifferential (mechanical device)Regional sciencePolitical scienceArchaeology

Abstract

fetched live from OpenAlex

This paper demonstrates that over the 25-year period, 1971-96, the majority of Canadian cities have undergone transition towards an increasingly decentralised urban form. The trends, however, are quite diverse, pointing to fundamental differences in the respective importance of growth in central and outer parts of the metropolitan area. On the whole, the relatively high densities observed in Canadian central cities, in comparison with US ones, appear to reflect residual centralisation rather than continued growth in metropolitan regions' innermost parts. Only Vancouver, and to a lesser extent Toronto and Victoria, exhibit indisputable evidence of post-1971 central-area growth. The predominant trend has been towards suburban-style, low-density expansion, albeit with considerable intercity variation regarding changes in central-area and suburban density. Findings presented here point to previously unidentified trends towards recentralisation in a few CMAs and, in about half of the surveyed metropolitan areas, densification of suburban tracts.

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)0.001
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 score0.033
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.012
Science and technology studies0.0020.001
Scholarly communication0.0020.000
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 head0.071
GPT teacher head0.213
Teacher spread0.142 · 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

Citations64
Published2002
Admission routes2
Has abstractyes

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