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Record W6979735110

Achieving equity in public transit planning: A critical assessment of Markham, Ontario's Highway 7 rapid transit corridor

2018· other· en· W6979735110 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2018
Typeother
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Public transportTerminologyTransportation planningPoliticsTransit (satellite)Public policySocial equalityBus rapid transit
DOInot available

Abstract

fetched live from OpenAlex

Contrary to other research that critically assesses transit projects using an equity imperative, the primary intent of this research is not only an empirical assessment of physical barriers which contribute to diminished transit access, but also a critical assessment of the policies used to guide the Highway 7 vivaNext Rapidway and land use development across York Region and Markham. A review of broad policy frameworks, I argue, is necessary to begin addressing issues that transit equity experts continuously raise. My research reviews transit equity and social exclusion literature to provide readers with an understanding of how equity can be defined and why appropriate terminology is important when planning transit infrastructure projects. In forming a critical assessment of the Highway 7 rapid transit corridor, I use a political economy framework to examine the growth imperative used in justifying greater density on Highway 7, and the continually changing nature of governing regimes involving both public and private sector actors. With social vulnerability growing in both Markham and York Region, it becomes increasingly relevant to assess policy in order to determine how planning processes could produce more equitable outcomes. Equity should be a key component in planning public transit however, equitable outcomes will become more difficult to achieve if transit continues to be less of a "public" infrastructure, and more of a "private" responsibility.

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)0.019
metaresearch head score (Gemma)0.031
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: none
Teacher disagreement score0.128
Threshold uncertainty score0.930

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0100.012
Scholarly communication0.0150.008
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.078
GPT teacher head0.288
Teacher spread0.210 · 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
Published2018
Admission routes1
Has abstractyes

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