Loose parts and risky play: playworker perspectives on facilitating a community-based intervention in local parks during the COVID-19 pandemic
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
Play encourages physical and social activity creativity, and risk-taking. However, unstructured and risky play is on the decline. Our qualitative study explored the perspectives of Play Ambassadors, who faciliated a community-based loose parts play intervention (‘play hubs’) in Calgary parks during the COVID-19 pandemic. Using semi-structured interviews with 12 Play Ambassadors, four main topics emerged. Experiences Supporting Unstructured Play reflected how they supported play and their perceptions and observations of the play hubs. Learning to Take Risks in Play reflected how Play Ambassadors’ views on risk and facilitating risky play evolved. Value of the Play Hubs reflected Play Ambassador perspectives on the community and personal impacts of the play hubs. Supporting Play during a Pandemic highlighted the challenges encountered in delivering the play hubs. Our findings suggest that community-based play programs in local parks may be a viable strategy for encouraging play, especially when traditional opportunities are restricted.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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