Designing Quality Sport Environments to Support Newcomer Youth and Their Families: The Case of One Program Founder/Leader
Bibliographic record
Abstract
Appropriately structured youth sport programs have been shown to promote participants’ physical activity and well-being. When compared to Canadian citizens and permanent residents, newcomers to Canada have lessened access to sport programs due to a multitude of interrelated factors. In the present case study, the authors explored the experiences of one founder/leader who created a sport program to support Canadian newcomer youth and their families. Two semistructured interviews were conducted with the program founder/leader to examine her experiences in intentionally promoting the physical activity and well-being of newcomer youth. Transcripts and program documents were subjected to a reflexive thematic analysis. Findings portray the complex set of factors that the program founder/leader considered to address the realities and needs of newcomer youth and their families. The practical considerations and reflections focus on the importance of designing culturally sensitive, inclusive, and quality programs with newcomers.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".