An Evaluation of the Sharing Dance Public School Program on Physical Literacy
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
Introduction: Physical literacy (PL) is a multidimensional concept that includes the domains of movement competence, positive affect, social participation, and the confidence, motivation, and knowledge and understanding necessary for regular engagement in physical activity. The Sharing Dance Public School Program was created by Canada’s National Ballet School specifically designed to promote PL through dance. The objective of this study was to evaluate the effectiveness of the program to improve PL in grade 4 to 6 children over the course of a school year. Methods: Children were initially recruited from two schools including an intervention and a control school. However, due to the COVID-19 pandemic, data collection was prematurely terminated which resulted in baseline and mid-point data from the intervention group only. As such, participants included 57 children ( n = 28 females, M ag e = 10.34 ± 0.85 years) that engaged in the dance program once per week for 50 minutes. Assessments of PL included a direct measure of movement competence (PLAYfun) and a self-report measure (survey) to assess the other domains of PL. Results: Significant improvements were found in movement competence. However, significant decreases were found for fun and enjoyment, confidence, and social participation. No changes were observed for knowledge and understanding or overall PL. Conclusions: Findings from the present study are encouraging as they provide initial evidence for the support of community-based PL programs, such as the Sharing Dance Public School Program, to help children develop their movement competence. Future research is needed to further evaluate the effectiveness of the Sharing Dance Public School Program over a school year, and when compared to a control group, as was initially intended.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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