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Record W4234340408 · doi:10.32920/ryerson.14648454

Lifestyle Centres: A Planner‘s Dream Or Nightmare? A Case Study Of The Shops At Don Mills

2021· preprint· en· W4234340408 on OpenAlexaff
Lynn Duong

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
Fundersnot available
KeywordsNeighbourhood (mathematics)PlannerCity centreLegislationPlan (archaeology)DreamBusinessOperations managementEngineeringGeographyPolitical sciencePsychologyLawCivil engineeringMathematicsComputer science

Abstract

fetched live from OpenAlex

Outlined in the Central Don Mills Secondary Plan, the Don Mills Centre is intended to function as a commercial and community centre to the Don Mills neighbourhood. The purpose of this study is to determine whether the Shops at Don Mills serves the local community or does it provide other functions? If so, what are these functions? This study looks at demographics in the area, retailers, policy and legislation, and the function of lifestyle centres in general to determine if the Shops at Don Mills is well integrated into the community. Three objectives are identified in order to address the research questions presented in this study. The first objective is to determine if lifestyle centres are designed for community and commercial purposes. The second objective is to identify the social makeup of Don Mills. The final objective is to examine present retailers at the Shops at Don Mills to determine the users of the centre and whether it functions as the commercial and community centre to the Don Mills neighbourhood.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.007
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.310
Teacher spread0.280 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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