An Evaluation of the Sharing Dance Public School Program on Physical Literacy
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.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".