Qualitative Evidence to Inform Municipal Government Actions to Increase Recreation Space Usage and Promote Equitable Participation in Leisure-Time Physical Activity
Bibliographic record
Abstract
Municipal recreation infrastructure is critical for enhancing people’s opportuni-ties to be physically active during leisure time and reducing usage inequities. Yet, the literature on municipal equity-sensitive strategies is limited. To address this gap, we combined a socio-ecological framework with equity, diversity, and inclu-sion (EDI) and health equity lenses to examine intersecting social and structural determinants of municipal recreation (indoor and outdoor) infrastructure usage. We used data from 22 focus groups involving youth, adult regular users, and adult non-regular users. The intersecting factors influencing people’s utilization experi-ences were organized at intrapersonal, socio-cultural environment, organization, and built and natural environment levels. Policy and practice implications for mu-nicipal governments vis-à-vis EDI and health equity considerations are discussed. Recommendations include public transportation improvement, design of strategic communication plans, and linking activities with opportunities for socialization, among others.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".