Characteristics of Physical Activity Interventions to Improve Executive Function in Preschool Children (2-7 years old): A Scoping Review
Bibliographic record
Abstract
This review aims to explore the development, implementation context, and delivery methods of existing effective physical activity interventions that pertain to executive function in early childhood. While the review seeks to explore global literature, a specific focus is to identify interventions suitable for subsequent adaptation to a Chinese context. Authors and Affiliations Ruiming Chen, Department of Sport and Exercise Sciences, Durham University, Durham, UK Sophie Phillips, Child Health and Physical Activity Lab, School of Occupational Therapy, Faculty of Health Sciences, Western University, London, Ontario, Canada. Mark Stoutenberg, Wolfson Research Institute for Health & Wellbeing, Durham University, Durham, UK Gillian McLellan, School of Sport, University of Stirling, Stirling, UK Caroline Dodd-Reynolds, Department of Sport and Exercise Sciences, Durham University, Durham, UK
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How this classification was reachedexpand
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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".