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Record W2752416158 · doi:10.3390/soc7030022

Leisure for People with Disabilities in Rural Quebec

2017· article· en· W2752416158 on OpenAlexaffabout
Romain Roult, Hélène Carbonneau, Émilie Belley-Ranger, M R St-Onge, Isabelle Brunet, Jean-Marc Adjizian

Bibliographic record

VenueSocieties · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of OttawaUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsRecreationParatransitFocus groupRural areaSocial isolationLeisure studiesDisabled peoplePublic relationsDiversity (politics)Social integrationEconomic growthPsychologySociologyBusinessPolitical scienceMarketingApplied psychology

Abstract

fetched live from OpenAlex

Leisure is an instrument used to facilitate the social integration of people with disabilities. However, it requires significant knowledge of the needs and expectations of this clientele, who often experience isolation, especially in rural areas. The general objective of this study was to attempt to identify and understand the realities experienced by the partners of the Quebec Association for Leisure for People with Disabilities, who offer various services and leisure activities to people with disabilities in rural Quebec. Through focus groups and semi-structured interviews with seventy local stakeholders, this study highlights the fact that the needs of organizations offering recreational activities to people with disabilities are increasingly urgent, especially in terms of finances, paratransit, accessibility, specialized human resources and consultation. This study also demonstrates that recreational activities are essential for the social and identity development of people with disabilities, but also for the development of more inclusive and connected rural 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)0.000
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.027
GPT teacher head0.356
Teacher spread0.329 · 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

Citations13
Published2017
Admission routes2
Has abstractyes

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