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Record W4220943661 · doi:10.1079/tourism.2022.0017

Leisure Education, Poverty and Recreation Participation

2022· article· en· W4220943661 on OpenAlexaffabout
Chelsey Hiebert, Jacquelyn Oancescu

Bibliographic record

VenueTourism Cases · 2022
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsVancouver Island UniversityUniversity of Manitoba
Fundersnot available
KeywordsRecreationLeisure studiesAgency (philosophy)Public relationsPovertySociologyEconomic growthPsychologyPolitical scienceSocial scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Individuals living in poverty face a number of challenges that interfere with their ability to create or engage in meaningful leisure and recreation experiences. Although limited access to finances is often the most cited constraint to leisure and recreation participation among those living in poverty, there are a wide range of other constraints on participation: limited leisure skills; knowledge and interests; discriminatory policies; feelings of guilt and shame; and poor physical, social and mental wellbeing. Despite the vast array of policies, subsidized programming and supports that the recreation profession and allied professionals have made available, low-income families continue to struggle to access and create leisure experiences. This case study highlights the innovation of a community-based leisure education delivery system to help low-income families learn about leisure, develop the necessary skills, knowledge, capacities and resources, and gain access to a wide range of leisure and recreation experiences to enhance their leisure repertoire. The success of the agency is embedded in their invested stakeholders, their ability to utilize existing community leisure recreation resources, and their focus on teaching for and through leisure. Because of this agency’s unique approach, the application of leisure education at the community level has positively impacted not only the child, but the family unit and community as well. VIU logo WLCE logo Information Vancouver Island University World Leisure Centre of Excellence © C. Hiebert and J. Oncescu 2015

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.330
Teacher spread0.303 · 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.

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

Citations1
Published2022
Admission routes2
Has abstractyes

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