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Record W3208205368 · doi:10.32920/ryerson.14657619.v1

The Architecture of Place: Placemaking In The Urban Fabric of Toronto

2021· preprint· en· W3208205368 on OpenAlexaffabout
Pegah Rategh

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPlacemakingSense of placeMetropolitan areaArchitectureUrban sprawlModernityPlace identitySociologyAestheticsSense of communityEconomic geographyMedia studiesGeographyUrban designPolitical scienceUrban planningCivil engineeringEngineeringSocial scienceArtArchaeology

Abstract

fetched live from OpenAlex

Nowadays, due to economic dynamics, modernity, technology and urban sprawl, humans are suffering from “placelessness”. A look at the urban fabric of metropolitan cities makes evident that public places are losing their distinctive idiosyncrasies. 21st-century built environments are diminishing the unique characters that make places noteworthy. The problem with this is that people have the desire to associate with distinctive places. Ignoring this tendency will create a type of environment where places do not matter any more. Public spaces that serve as platforms for life are not only essential to the identity of cities but also provide venues for social-cultural activities that will attract people. This thesis aims to investigate the role of architecture in increasing the quality of people’s daily experiences in the public domain, and to explore opportunities to frame a new type of public market place in Toronto by imbuing ‘The Architecture of Place’ with ‘a sense of place’.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.270
Threshold uncertainty score0.544

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.015
Scholarly communication0.0070.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.202
Teacher spread0.195 · 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 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
Published2021
Admission routes2
Has abstractyes

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