Perspectives on exercise participation among Canadian university students
Bibliographic record
Abstract
Objective: University has been identified as an important time to develop exercise habits. The aim of this study was to examine factors that enhanced exercise participation among a diverse set of undergraduate students and their perceived facilitators as well as barriers to exercising regularly. Setting: A large public university in one of the largest and most ethno-culturally diverse regions of Canada. Method: A mixed-methods design was employed to examine factors associated with regular exercise participation among diverse Canadian undergraduate students ( N = 477). Survey data were analysed using logistic regression analyses to predict regular exercise participation. In addition, six focus group sessions explored barriers and facilitators to regular engagement in exercise ( n = 41). Results: Survey findings indicated that being male, having a parent that attended college, and religious affiliation were predictive of exercising regularly. Thematic analysis of qualitative findings highlighted the complex roles that religion, intimidation, peer support and priority-setting played in college students’ exercise participation. Conclusion: Findings can inform ongoing strategies to promote exercise participation in early adulthood, particularly among diverse college students.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".