Using High School Football to Promote Life Skills and Student Engagement: Perspectives from Canadian Coaches and Students
Bibliographic record
Abstract
In Canada, adolescent boys have been shown to have a higher high school dropout rate compared to girls. This situationis particularly evident in the country’s second largest province by population, Quebec. The sport of Canadian footballhas recently gained in popularity in Quebec as many people believe that the sport can be used to promote both life skillsand student engagement. The present study’s purpose was to document coaches’ and students’ perspectives on studentdevelopment through participation in high school football. Nine coaches and 18 students were interviewed throughindividual and focus group interviews and shared how they believe that students benefited personally and academicallyfrom playing high school football. Nevertheless, both coaches and students faced several challenges during the seasonthat influenced the benefits students gained from their participation in sport. Findings suggest that high school sport,and more specifically high school football, can facilitate the positive development of students. However, to effectivelypromote student engagement, coaches must continually put in place strategies that help maintain students’ motivationtoward school.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".