An Investigation of Physical Literacy and Moderate to Vigorous Physical Activity in Children Aged 8-12 Years of Age in Southwestern Ontario
Bibliographic record
Abstract
Physical literacy has been described as means to achieve an active lifestyle (Physical and Health Education Canada, 2014) and as the building blocks of physical activity, including fundamental movement skills, physical fitness, motor skills, the motivation and confidence (MC), and the knowledge and understanding (KU) to be physically active (Lander et al., 2017; Tremblay & Lloyd, 2010). In Canada, the Canadian Assessment of Physical Literacy (CAPL) was developed as a means to collect and monitor physical literacy in Canadian children 8 to 12 years of age. The aim of the present study was to investigate associations between objectively measured moderate to vigorous physical activity (MVPA), overall CAPL score and the 4 domains: daily behaviour (DB), physical competence (PC), KU, and MC (objective 1). In addition, to evaluate whether objectively measured MVPA could effectively replace the current subjective measure as a means to improve the CAPL tool. The results indicated that only 26.7% of children in southwestern Ontario met the physical literacy requirements to achieve health benefits. The overall CAPL score (except 8 and 12 year old females) and the DB category score (except 12 year old females) were positively associated with MVPA for males and females in all age groups. No differences were observed between the PC and KU categories, yet for MC, positive correlations were observed in 9 year old males and 10 year old male and females. Further, the measure of MVPA was suitable to replace the subjective measure of MVPA, although only contributes 3 points to the total CAPL score. Generally, the CAPL protocol was an effective tool in establishing the relationship between MVPA and physical literacy and is recommended to replace the current subjective MVPA measurement with the objectively measured MVPA collected via the pedometers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".