“We could just be what we wanted to be”: The role of leisure and recreation in supporting women’s mental health during COVID-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Women’s mental health has been disproportionately impacted by the COVID-19 pandemic. Women have experienced higher rates of unemployment, domestic violence, caregiving responsibilities and reduced access to social supports because of public health measures related to COVID-19. It is well established that leisure and recreation can support mental health, yet, the role of leisure and recreation in supporting women’s mental health during COVID-19 is relatively unknown. In partnership with the Canadian Mental Health Association-Yukon, the purpose of this community-based participatory research study was to understand how leisure and recreation might support women’s mental health in Whitehorse, Yukon Territory during COVID-19. Twelve self-identifying women between the ages of 22–65 years participated in one-on-one semi-structured interviews. A participatory data analysis approach was employed and the findings are represented by five themes: (a) focus on yourself, (b) facilitating feel-good emotions, (c) connection and support networks, (d) navigating the northern context, and (e) women-identified opportunities. Findings suggest leisure and recreation offer various processes that assist women with managing stressful situations that in turn support their mental health. These processes include promoting self-determination, generating positive emotions, and strengthening connectedness. Actionable steps to support women’s mental health in a northern context are also presented.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it