Exclusionary Mechanisms of Community Leisure for Low-Income Families: Programs, Policies and Procedures
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".