Moderating Effects of Campus Recreation Participation in the Relationship between Grade Point Average and First-Year Student Engagement: An Exploratory Study
Bibliographic record
Abstract
Health and student success outcomes are often thought to be associated with campus recreation participation. Thus, decision makers at the university level are interested in the relationship between campus recreation participation, grade point average (GPA), and student engagement. Previous research has called for a clearer understanding of how campus recreation is meaningful for first-year university students and its potential influences on GPA. This study explored the influence of first-year students' campus recreation participation, GPA, and facets of student engagement. First-year university students ( N = 171) were surveyed. Demographic characteristics, GPA, and level of engagement on five scales were assessed. Results showed that GPA positively influenced those who participated in campus recreation on four facets of engagement. Results may help academic administrators to target efforts toward making the transition from high school to university easier. Promoting campus recreation participation may be effective for strengthening students' level of engagement and result in positive success outcomes.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 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".