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Record W2124773785 · doi:10.1080/00420980220112739

Agglomeration and Dispersion of High-order Service Employment in the Montreal Metropolitan Region, 1981-96

2002· article· en· W2124773785 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Studies · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité de Montréal
Fundersnot available
KeywordsMetropolitan areaPolycentricityReal estateEconomic geographyEconomies of agglomerationDecentralizationOrder (exchange)Service (business)CensusSuburbanizationBusinessGeographyEconomyEconomicsEconomic growthFinanceMarket economyPopulationSociology

Abstract

fetched live from OpenAlex

Much of the recent urban literature on suburban employment centres has neglected the role of high-order services, perhaps the principal component of 'edge cities', in the creation of the evolving multinucleated metropolitan structure. This paper specifically explores the role of high-order services in this process. We use employment by place-of-work data at the census-tract level to examine the changing intrametropolitan geography of employment in four finance, insurance and real estate (FIRE) services and eight business services in the Montreal area over the period 1981-96. We find evidence of central business district (CBD) decline in relative, but not absolute, terms. The resulting decentralisation has clearly assumed the form of polycentricity rather than of generalised dispersion. In spite of recent advances in telecommunications technologies, agglomeration economies continue to exert an important impact upon intrametropolitan location.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.047
GPT teacher head0.222
Teacher spread0.175 · 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