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Record W7015847210

Transit-Oriented Development Surrounding GO Transit’s Stouffville Line Stations in Scarborough: Issues and Prospects

2024· other· en· W7015847210 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGentrificationWork (physics)Affordable housingTransit (satellite)Transit-oriented developmentRail transitDisplacement (psychology)Urban transit
DOInot available

Abstract

fetched live from OpenAlex

Transit-oriented development (TOD) policies greatly impact where housing development is focused in the Greater Toronto Area (GTA). Improvements to enhance southern Ontario’s GO Train system are being made throughout the decade and the 2030s. With this enhancement and the related TOD policies for Major Transit Station Areas (MTSAs) that encourage density, more housing development is beginning to form. These governmental policies that encourage transit ridership through increased accessibility and mobility work to curb greenhouse gas emissions, reduce commuting times, and utilize existing and proposed infrastructure. However, these outcomes are not sufficiently interconnected with affordable housing provision in the GTA to mitigate gentrification and displacement pressures. As higher-income individuals are attracted to amenity-rich areas like those that surround a train station, lower-income individuals may be financially excluded by not having housing affordable to them. To explore the relationship between TOD policies and the occurrence of gentrification and displacement, this Major Paper focuses on Scarborough’s three Stouffville Line GO Train stations. The Major Paper analyzes whether gentrification and displacement have occurred in the areas surrounding these stations from 2016 to the present.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.174
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.006
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.189
Teacher spread0.176 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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