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Record W389282423

GROSS DENSITY AND NEW URBANISM

2005· article· en· W389282423 on OpenAlexaboutno aff
David L. A. Gordon, Shayne Vipond

Bibliographic record

VenueJournal of the American Planning Association · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanismNew UrbanismGeographyDifferential (mechanical device)Urban planningPopulation densityConsumption (sociology)Land useEnvironmental planningPopulationArchitectureRegional scienceCivil engineeringSociologyArchaeologyEngineeringDemographySocial science
DOInot available

Abstract

fetched live from OpenAlex

Traditional neighborhood development (TND), an early form of New Urbanism, emphasizes mixed use, walkable neighborhoods, a network of interconnected streets and priority for public spaces and civic buildings. Markham, Ontario began encouraging TND practices to foster compact development after it expanded its urban area boundaries in the mid-1990s. This article compares the gross density of new suburban secondary plans with conventional suburban development in Markham. The new plans accommodate 150,000 people and are North America's largest concentration of new communities planned with TND principles. The comparison demonstrates that the mean gross residential density of the New Urbanism areas is approximately 76% higher than that of the adjacent conventional suburban areas. The population density differential between New Urbanist and conventional suburban areas is approximately 66%. These findings suggest that New Urbanist planning principles have proven to be an effective strategy to accommodate high gross densities and reduce land consumption on greenfield sites.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.137

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 head0.014
GPT teacher head0.259
Teacher spread0.245 · 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.

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

Citations13
Published2005
Admission routes1
Has abstractyes

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