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Record W4410232416 · doi:10.3138/cpp.2024-040

Beyond the City Limits: Analysis of Federal Funding of Public Transit in Rural Canada

2025· article· en· W4410232416 on OpenAlexaffvenueabout
Sarah‐Patricia Breen, Ryan Gibson, Hannah Main

Bibliographic record

VenueCanadian Public Policy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsDalhousie UniversityUniversity of GuelphSelkirk College
Fundersnot available
KeywordsTransit (satellite)Public transportPublic administrationPolitical scienceRegional scienceBusinessGeography

Abstract

fetched live from OpenAlex

Public transit benefits rural people, places, and businesses but faces substantive barriers, necessitating financial support. This article investigates whether the federal Rural Transit Solutions Fund has changed rural access to federal funding and whether the changes align with rural needs. Through an analysis of federal funding of transit projects across Canada and a detailed analysis of three Canadian provinces, this article explores patterns by region, recipient type, transit system characteristics, and rural representation. Preliminary results indicate that the Rural Transit Solutions Fund is shifting patterns of who gets funded and where funding is distributed, increasing accessibility for some rural places. However, gaps remain, with disparities in rural access, particularly for smaller, remote, and Indigenous communities.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.013
Science and technology studies0.0050.001
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
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 head0.032
GPT teacher head0.297
Teacher spread0.265 · 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 designObservational
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
Published2025
Admission routes3
Has abstractyes

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