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Record W4252649464 · doi:10.32920/ryerson.14665803.v1

Bridging divides, creating connections: reimagining existing city of towers neighbourhoods

2021· preprint· en· W4252649464 on OpenAlexaboutno aff
Lai-yee Joanna Truong

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBridging (networking)ArchitectureArchitectural engineeringUrban planningGeographyEnvironmental planningCivil engineeringRegional scienceSociologyEngineeringArchaeologyComputer science

Abstract

fetched live from OpenAlex

Modern city planning theories were widely accepted in the early twentieth century producing many ‘City of Towers’ neighbourhoods throughout Toronto and the world. Although cities in the twenty-first century are being planned with the inclusion of human needs, remnants of the twentieth century city planning are still present within our built environment. The current methods of revitalizing existing City of Towers neighbourhoods are band-aid solutions that are not sustainable in the long run. This thesis investigates how alternative strategies can provide a more integrated solution without taking the tabula rasa approach. Architecture and other built forms are used to propose strategies that will produce a new relationship between existing buildings and their surroundings to meet the needs of residents today and in the future. St. James Town located in Toronto, Ontario is selected to investigate the hypotheses of this thesis to give expression to the topic of Bridging Divides|Creating Connections.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0060.005
Open science0.0010.007
Research integrity0.0010.001
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 head0.267
Teacher spread0.237 · 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 designTheoretical or conceptual
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 routes1
Has abstractyes

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