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Record W4250344315 · doi:10.32920/ryerson.14664105.v1

Tactical urbanism benefits and constraints: a Brampton case study

2021· preprint· en· W4250344315 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicUrban Planning and Landscape Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsUrbanismNew UrbanismStakeholderIntervention (counseling)Architectural engineeringKey (lock)Environmental planningBusinessTransport engineeringComputer sciencePolitical scienceEngineeringArchitecturePublic relationsGeographyComputer securityPsychology

Abstract

fetched live from OpenAlex

The idea of informality in spaces is not a new concept, it is employed worldwide on a regular basis from something as simple as garage sale to a food truck moving to from place to place. Tactical urbanism draws from the idea of informality, through its attractive attributes (not permanent, limited resources necessary, any interested stakeholder can implement it and more), as short term solutions to drive change within communities. This research examines one tactical urbanism intervention in Brampton, Ontario to highlight the benefits and constraints of employing this method to drive change within the city. A review of the existing literature on tactical urbanism is used to aid in this analysis, and to compare to the case example ultimately, arriving at some recommendations for future the implementation of tactical urbanism interventions. Key words: Tactical Urbanism, Brampton, Informality, Short term planning solutions

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.

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 categoriesInsufficient 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 score0.249
Threshold uncertainty score0.996

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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.251
Teacher spread0.222 · 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

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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