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Record W7081916980 · doi:10.1080/01490400.2025.2554909

Exploring Accessibility in Three Quebec Parks, Canada for People with Disabilities

2025· article· en· W7081916980 on OpenAlexaffabout

Bibliographic record

VenueLeisure Sciences · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsInternational Collaboration On Repair DiscoveriesCentre for Disability Prevention and RehabilitationUniversity of British ColumbiaCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleUniversité LavalSimon Fraser UniversityCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsQualitative researchGovernment (linguistics)Quality of life (healthcare)

Abstract

fetched live from OpenAlex

For people with disabilities, participation in outdoor spaces has many physical and psychological benefits. Despite advances in legislation in Canada, outdoor spaces such as national parks remain difficult to access. The goal of this research was to identify barriers and facilitators that people with disabilities face when accessing parks. The research was conducted in several phases in two Canadian provinces (British Columbia and Quebec). This article presents the findings from one phase in Quebec. A qualitative approach using go-along interviews was used, and a content analysis was performed. Fifteen participants with various disabilities were interviewed in three parks (Forêt Montmorency, Parc de la Jacques-Cartier and Parc Des Plaines d'Abraham). Four main categories emerged, including: 1) trails, 2) access to information, 3) infrastructure, and 4) external factors. Perceived barriers and facilitators resulted from interactions between elements within categories 1, 2 and to 3 and external factors at play in the park.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.529
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.262
Teacher spread0.206 · 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.

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 routes2
Has abstractyes

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