There's More to Poverty Than Income: Insights on Toronto's Leisure Access Policy from Policymakers and Implementers
Bibliographic record
Abstract
This study explores the Welcome Policy (WP) in Toronto, Canada. The WP is a leisure access policy that provides a subsidy for low-income families to participate in registered programs at city-operated recreation centres. The purpose of this study is to explore policymakers’ and Parks and Recreation Department managers’ assumptions about how the municipal government ameliorates and/or reproduces socioeconomic barriers to recreational activities. The study involves a critical analysis of approximately 240 documents, including public reports, municipal council meeting minutes, budgets, and plans. Five semi-structured interviews were conducted with individuals who have experience working on the WP. The findings support the WP’s role in municipal recreation provision, yet also recommend systematic theory-based evaluations to contribute to Toronto’s implementation of targeted policies and proportionate universalism. Through the lens of public sociology, this thesis presents practical recommendations for policymakers to work with sociologists to improve access to sport for all.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".