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Record W4384695369 · doi:10.22215/etd/2023-15583

Suburban Maturations: Speculations on Socially Driven Suburban Living

2023· dissertation· en· W4384695369 on OpenAlexaboutno aff
Matthew Ian Beliak

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSocial connectednessLonelinessSense of communitySpace (punctuation)SociologyArchitectural engineeringGeographyEnvironmental ethicsPolitical scienceEngineeringSocial psychologyPsychologySocial scienceComputer science

Abstract

fetched live from OpenAlex

With patterns of loneliness on the rise in Canada, this thesis explores the relationship between the built environment and its potential impact on human, social interaction. Specifically, this thesis seeks to further understand to what degree can the built environment be used to promote social interaction, connectedness, and an improved sense of belonging within Canadian suburban morphologies? The private automobile and individualization of space have been key contributors to suburbia at the morphological level but with the emergence of new technologies such as ridesharing and autonomous vehicles, the privatization of suburbia could soon change, opening up new opportunities to explore how suburban morphologies could evolve to promote enhanced social interaction. As such, this thesis uses the suburban community of Richmond Hill as the site of interest to imagine how existing suburban communities might evolve under the influence of design to become more socially interactive places to live.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.465

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 studies0.0070.018
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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