Early childhood educator perceptions of risky play in an outdoor loose parts intervention
Bibliographic record
Abstract
Free play is important in early childhood and offers physical and mental health benefits. Outdoor play offers opportunity for children to use natural elements and promotes physical activity, among other health benefits, including exploring their environment and taking risks. Risky outdoor play may involve challenges, heights, speed, and the potential for injury, but has been associated with increased physical activity levels, decreased sedentary behaviour, improved mental health, and social benefits. The integration of loose parts, or open-ended, unstructured materials, into play environments, has been associated with positive social behaviours, creativity, and improved problem-solving, confidence, and resilience. As opportunities for risky play in early childhood are determined by adults, including early childhood educators, it is important to understand their perspectives on these types of play. The purpose of this study was to explore early childhood educators' perspectives of risky play, in the context of the Physical Literacy in the Early Years (PLEY) intervention. PLEY was a mixed methods study that aimed to evaluate a loose parts intervention in early childcare settings. This paper used Qualitative Description to explore educators' perspectives. Data were collected from 15 focus groups with early childhood educators. Four themes were identified through thematic analysis. The first explains how risky play with loose parts contributes to evolution in educator perceptions; the second describes how educators' perceptions of risk are connected to institutions and systems; the third illustrates how educators developed strategies to facilitate risky play with loose parts; and the fourth demonstrates how educators perceive risky play as beneficial for children's healthy development. This project highlights societal shifts in play and how loose parts and risky play fit into the ongoing evolution in play, from the perspectives of early childhood educators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".