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Record W4249808674 · doi:10.32920/ryerson.14648235.v1

Creating “Complete Communities” Through Commercial Land Use Policy

2021· preprint· en· W4249808674 on OpenAlexaffabout
Kelsey Prentice

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsToronto Metropolitan UniversityWestern University
Fundersnot available
KeywordsMandateHierarchyBusinessLand usePlan (archaeology)Order (exchange)Function (biology)Government (linguistics)Environmental planningGeographyEconomicsPolitical scienceFinanceCivil engineeringEngineeringMarket economy

Abstract

fetched live from OpenAlex

The Ontario government has provided little guidance for municipalities regarding planning for retail development, despite expecting their land use policies to achieve the goals of sustainable and complete communities mandated through provincial policies. This paper examines the evolution of commercial land use policy over the past twenty years, in order to describe how municipalities have been planning commercial retail development to meet the objectives of the Growth Plan. During this time period, a new form of retail emerged known as “power retail”. This new form of retail has disrupted land use planners’ mandate to maintain the planned function of commercial hierarchies. Case studies of three municipalities in York Region (Vaughan, Richmond Hill and Markham) reveal that commercial land use policy has moved away from creating a commercial retail hierarchy based on planned function and have instead established an urban structure based on a hierarchy of intensification areas.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.008
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.153
GPT teacher head0.318
Teacher spread0.166 · 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.

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

Citations0
Published2021
Admission routes2
Has abstractyes

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