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Record W3205823060 · doi:10.1080/01490400.2021.1987359

Exclusionary Mechanisms of Community Leisure for Low-Income Families: Programs, Policies and Procedures

2021· article· en· W3205823060 on OpenAlexaff
Jackie Oncescu, Lauren Green, Justine Jenkins

Bibliographic record

VenueLeisure Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSubsidyLow incomeBusinessSubsidized housingRecreationEconomic growthPublic relationsMarketingEconomicsDemographic economicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

With the rise of neoliberalism, community leisure practitioners have access to fewer resources, which requires adopting the business-like practices of private sector organizations. To ensure access for low-income families, practitioners incorporate economic-based access policies. Despite these efforts, many low-income families are still unable to access community-based leisure provisions. Drawing on data from a case study of a nonprofit organization that supports low-income families’ access to leisure activities, we found that community leisure provisions had rigid program structures, subsidy programs, registration processes, and volunteer obligations that hindered rather than helped parents’ ability to enroll, facilitate, and maintain their children’s leisure participation. Our findings indicate that top-down programming resulted in not meeting families’ needs due to program options, despite being designed for low-income families, the leisure access provisions prevented rather than cultivated participation 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)0.001
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 score0.221
Threshold uncertainty score0.836

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.044
GPT teacher head0.345
Teacher spread0.302 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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