How an early learning and child care program embraced outdoor play: A case study
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
Research indicates outdoor play influences children’s physical, cognitive and social-emotional well-being, but there are barriers to implementation in early learning settings. This study explores an early learning and child care (ELCC) program achieving success with outdoor play to identify strategies that may help overcome barriers and support outdoor play in similar contexts. Focus groups and interviews were conducted with ELCC program Early Childhood Educators (ECEs) and facilitators, school teachers and principal, and government staff. Data also included relevant documentation and photographs of the outdoor play spaces. Thematic analysis of all data was completed, resulting in a description of the ELCC program’s outdoor play space and practices and factors that may be influencing these identified practices. Six themes or influencing factors were identified: 1) outdoor play, including loose parts and risky play, is valued; 2) outdoor play is promoted and engaged in by others; 3) space and resources are available; 4) communication and engagement happens; 5) leaders are integral; and 6) partnerships and collaboration are essential. Using Bronfenbrenner’s ecological systems model, this research identifies outdoor play implementation strategies that may provide guidance to ELCC stakeholders such as ECEs and policymakers. To overcome outdoor play challenges, considerations should be made to purposefully target and engage multiple subsystems and stakeholders as described in this study for greatest impact.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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