Investigating the impact of a novel movement behavior program for refugee youths in Canada: the IPLAY program
Bibliographic record
Abstract
Introduction Physical literacy (PL) is considered to be a multidimensional concept that includes the core domains of movement competence, confidence, motivation, and knowledge and understanding related to regular participation in physical activity (PA). The Immigrant-focused Physical Literacy for Youth (IPLAY) program was an 8-week initiative designed for newcomer youth that took place in the Fall of 2022 and Winter of 2023. This study examined the potential impact of the IPLAY program on PL development among newcomer youth. Methods Participants for the current study included a total of 38 refugee youths ( M age = 14.84, n = 22 males and 16 females) between the ages of 12–17 years and recent arrivals to Canada (76% having moved to Canada within the past 12 months). Measures of PL included an observed assessment of movement competence (PLAY basic ), along with PLAY self as self-reported assessments of confidence, motivation and knowledge and understanding. Results Overall, results found that PA levels ( p = 0.03) and overall movement competence ( p = <.001) significantly increased by the end of the intervention. Whilst there were increases in other domains of PL, they were not found to be statistically significant. Discussion Overall, the present study is encouraging, providing initial support for community-based programs to aid in the PL development among newcomer youths to Canada. Future trials with larger and more diverse samples of newcomers are needed to further demonstrate the efficacy of PL-based programs such as IPLAY.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".