Providing Provisions in Uncertain Times: Benefits and Challenges of Partnerships Developing and Facilitating Recreation and Leisure Services for Rural Low-income Families During the COVID-19 Pandemic
Bibliographic record
Abstract
Municipal parks and recreation departments across Canada were affected by the COVID-19 pandemic as many were forced to suspend all programming and access to public spaces and services. Municipal recreation providers had to re-evaluate and adapt to meet community needs, especially those citizens marginalized from community recreation experiences, such as rural low-income mothers. These mothers were disadvantaged due to interconnected and compounding factors such as gender, race, and income, in addition to a lack of personal leisure resources, which was intensified by the closure of public leisure spaces. During the COVID-19 pandemic, the Town of Kentville Parks and Recreation Department (TOKPRD) partnered with community-basednot-for-profit organizations to develop and facilitate recreation and leisure services for rural low-income mothers and their families. This poster presentation aims to share the findings from focus groups conducted with the TOKPRD and two other community-based, not-for-profit organizations to examine the benefits and challenges of collaboration in developing and facilitating recreation and leisure services for rural, low-income mothers and their families. These findings highlight the benefits and challenges of partnerships between the municipality and community organizations and the impact on the community as a result of such collaboration and partnership.
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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 | 0.001 | 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".