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Record W2129165611 · doi:10.1177/0042098011411948

Network Accessibility and Employment Centres

2011· article· en· W2129165611 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.

Bibliographic record

VenueUrban Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsQueen's University
Fundersnot available
KeywordsMetropolitan areaPolycentricityDocumentationEconomic geographyUrban spatial structureBusinessTransport engineeringRegional scienceSpatial mismatchUrban structureGeographyEconomic growthUrban planningEconomicsCivil engineeringEngineeringFinanceComputer science

Abstract

fetched live from OpenAlex

This research examines the impact of accessibility on the growth of employment centres in the Los Angeles region between 1990 and 2000. There is extensive empirical documentation of polycentricity—the presence of multiple concentrations of employment—in large metropolitan areas. However, there is limited understanding of the determinants of growth of employment centres. It has long been held that transport investments influence urban structure, particularly freeways and airports. Using data on 48 employment centres, the effects are tested of various measures of accessibility on centre employment growth: highway accessibility, network accessibility and two measures of labour force accessibility. Access to airports is also tested. It is found that, after controlling for centre size, density, industry mix, location within the region and spatial amenities, labour force accessibility and network accessibility are significantly related to centre growth. It is concluded that accessibility continues to play an important role in urban spatial structure.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.521

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 studies0.0010.001
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 head0.102
GPT teacher head0.337
Teacher spread0.235 · 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