Frequency and duration measurements of children’s outdoor free play: A Scoping review
Bibliographic record
Abstract
Outdoor free play encompasses unstructured, self-directed play in the outdoors and has been shown to support children’s health and development. Accurate and reliable measures are required to conduct research on children’s outdoor free play and examine cross-sectional and longitudinal variation. This study systematically reviews and evaluates measurement approaches for children’s outdoor free play used in existing literature. A scoping review was conducted to identify English-language peer-reviewed and grey literature that included measurements of the occurrence, frequency or duration of outdoor free play with children aged 2 to 17 years old. Studies were excluded if the outdoor free play measure included structured settings or activities, or focused on a specific location or play activity. Quantitative and qualitative content analysis was used to consider outdoor free play terminology, definition, and operationalization; positioning in relation to other variables and the topic of interest; and data collection context. A total of 4,860 unique studies were identified. After screening and full-text review, 184 papers were taken forward for analysis. Parent-recall questionnaires were used in 70.1% of included studies to measure outdoor free play, often using a single question to capture the variable. A lack of differentiation between outdoor play emanating from structured and unstructured settings was common, as was limited consideration of contextual factors such as season, school or non-school days, and time of day. The implications of existing approaches to measuring children’s outdoor free play and the need for valid and reliable measures to further research examining children’s outdoor free play are discussed.
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.
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 | 0.022 | 0.103 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.032 | 0.029 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".