Development and evaluation of the IPLAY program: A protocol for a mixed-methods feasibility study targeting newcomer youth
Bibliographic record
Abstract
BACKGROUND: Physical Literacy (PL) is a synthesis construct that ties together movement competencies with affective, motivational, and knowledge-based elements. It is considered foundational to the development of physical activity-related outcomes. Many diverse organizations and programs have embraced the concept and are implementing programs targeting each of those core elements. However, research has lagged behind its interest and adoption. Among the more prominent gaps is the design and evaluation of programs that aim to increase PL within special populations such as new immigrants or refugee youth. METHODS: The Immigrant-focused Physical Literacy for Youth (IPLAY) program is a co-developed evidence-informed 8-week PL program designed for new immigrant and refugee youths who have recently settled in Calgary, Alberta, Canada. This study aims to use a convergent parallel mixed-methods approach to collect, analyse, and interpret quantitative and qualitative data in the evaluation and iteration of the IPLAY program. DISCUSSION: PL programs can be used as a tool to build confidence and physical competencies among newcomer youth. Furthermore, academic-community collaborations in the design and delivery of PL programs can help improve the access and interest for PL programs among newcomer youth. These partnerships are critical and timely considering the recent and upcoming waves of immigration to "arrival cities" across Canada.
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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 | 0.091 | 0.054 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.064 | 0.014 |
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".