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Record W6998965267

A “Capital” Journey? Improving the Interprovincial Transit User Experience in Ottawa-Gatineau

2022· other· en· W6998965267 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTransit (satellite)Public transportState (computer science)Urban transitTransit systemRail transitField (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Public transit is an important element of urban life, but as cities grow, delivering public transit becomes more complicated. Therefore, transit integration — including routes, fares, and accessible information — must be incorporated into both online and physical transit infrastructure. Transit integration is especially important in Ottawa-Gatineau as it is a uniquely bilingual and interprovincial metropolis. \n \nThis report describes the interprovincial transit user experience in Ottawa-Gatineau and provides policy recommendations so that governments and the transit agencies in Ottawa and Gatineau (OC Transpo and the Société de transport de l’Outaouais/STO, respectively) can improve the user experience. \n \nThis report addresses the following research questions: \n \n1. What is the current state of interprovincial transit integration in Ottawa-Gatineau, and how does it affect the user experience? \n \n2. Is it convenient to take transit between important cross-border destinations? \n \n3. How can the two transit agencies (along with relevant governments) improve the experience of interprovincial transit users in Ottawa-Gatineau? \n \nThe current state of transit integration in Ottawa-Gatineau was assessed through online and field research. Online research involved analyzing the information available on the websites of the two transit agencies. Field research consisted of walking through stations/major transfer points and riding on buses and the O-Train. Online research largely yielded positive results, as information about transferring, fares, and other overlap between OC Transpo and STO is highly detailed and accurately translated. However, significant gaps were found aboard buses and LRT and in stations/major transfer points (especially in Gatineau). These mixed results led to the creation of two targeted strategies, three system-wide strategies, and twenty combined recommendations to improve the interprovincial transit user experience in Ottawa-Gatineau.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0100.004
Scholarly communication0.0040.003
Open science0.0010.003
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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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
Published2022
Admission routes1
Has abstractyes

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