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Record W4255596900 · doi:10.32920/ryerson.14652096

Working in Rexdale: creating a long-term vision for the Rexdale employment area

2021· preprint· en· W4255596900 on OpenAlexaffabout
Sunjay Mathuria

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsToronto Metropolitan UniversityUniversity of King's College
Fundersnot available
KeywordsVisionPlan (archaeology)Term (time)BusinessRegional sciencePolitical scienceEconomic growthSociologyGeographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

While the City of Toronto recognizes the importance of retaining employment lands, it is becoming evident that long-term visions are needed to fully conceptualize the possibilities and realities of these aging, eclectic manufacturing hubs found in the inner suburbs. The purpose of this research is to identify the conditions, constraints and opportunities of the Rexdale Employment Area and develop the groundwork for a Secondary Plan. The first phase of this research project involves conducting a literature review of suburban industry and collecting historical information on Rexdale's employment lands. This is followed by a provincial and municipal policy review for employment lands and how these impact the longevity of the Rexdale Employment Area. A case study analysis of industrial districts in Chicago and Vancouver helps identify possible best practices to implement in Rexdale. Finally, interviews with planners, local employees, industrial associations and com munity organizations were used to provide perspectives absent from existing literature. A site study of the vacant land at 555 Rexdale Boulevard is used as a way to conceptualize the conditions and opportunities of the Rexdale Employment Area.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.296
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.087
GPT teacher head0.366
Teacher spread0.279 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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