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Record W4210695965 · doi:10.32920/19083395

Smokestack perceptions: exploring opportunities for intensification and light-industrial mixed use on Geary Avenue

2022· preprint· en· W4210695965 on OpenAlexaffabout
Alexander Smiciklas

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVitalityBusinessEconomic geographyEconomyEconomics

Abstract

fetched live from OpenAlex

<div>The high value of land, strain from rising property taxes, and pressure to redevelop impacts low-rise industrial users in Toronto and is leading to a dwindling supply of industrial employment land. The push for ‘highest and best use’ often leads to mixed-use development, common in most urban areas. Currently, most mixed-use projects deliver Commercial Residential (CR), meaning industrial users, which provide</div><div>competitive wages and have linkages to other industries that benefit the overall economy, have been largely left out of the conversation. This research explores how light industrial uses could be integrated into new mixed-use development to meet the demands of intensification, while adopting measures to incentivize its protection and vitality. Case study exploration from Vancouver and San Francisco, and in-depth subject area analysis prompt recommendations for a more diverse mix including compatible industrial use on Geary Avenue, one of Toronto’s remaining urban industrial corridors.</div><div><br></div><div>Key words: production, distribution, repair (PDR); light industrial; mixed-use; intensification</div>

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.630

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 communication0.0000.000
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 head0.644
GPT teacher head0.364
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2022
Admission routes2
Has abstractyes

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