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Record W4213380289 · doi:10.1177/00084174211073266

Leisure Possibilities of Adults Experiencing Poverty: A Community-Based Participatory Study

2022· article· en· W4213380289 on OpenAlexvenueno aff
Pamela Cantor, Monika Polakowska, Amanda Proietti, Victor Tran, Jonathan Lebire, Laurence Roy

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyParticipatory action researchCitizen journalismPopulationVariety (cybernetics)SociologyPsychologyGerontologyEconomic growthPolitical scienceMedicineEconomics

Abstract

fetched live from OpenAlex

Background. Poverty disproportionally affects persons with disabilities, elderly individuals and racialized groups. Leisure, play and rest are not prioritized in either services for or research with people living in poverty. Purpose. This study aims to examine the facilitators and barriers to participation in meaningful leisure activities for adults living in poverty. Method. We used community-based participatory research and art-based elicitation strategies with 39 service users at a food security organization. Findings. Individuals experiencing poverty value and engage in a variety of free and affordable leisure activities, but they are not afforded the necessary leisure opportunities, accommodations and supports as the general population. We co-created a map of local leisure resources to foster collective capacity in leisure planning, and to support organizations working with this population. Implications. Occupational therapists can work alongside members of underserved communities to uncover and address the systemic and local contextual barriers to engagement in leisure activities.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.483
GPT teacher head0.529
Teacher spread0.046 · 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

Citations13
Published2022
Admission routes1
Has abstractyes

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