Exploring Gender Differences in the Relationship Between Personal and Environmental Factors With the Use of a Campus Fitness Center
Bibliographic record
Abstract
University is a crucial period for developing lasting physical activity (PA) behaviors. The purpose of this study was to (a) explore differences in the strength and direction of the relationship between personal and environmental factors with one's use of a campus recreational facility (CRF) and the seven zones within it, and (b) test whether these relationships were influenced by gender. To test this, 648 university students provided responses to an online survey including CRF use, personal factors, and environmental factors. Eight path analyses were run with use of the CRF and the seven zones assigned as the eight dependent variables (one DV/analysis), gender as the moderator, and personal and environmental factors as the independent variables. An individuals’ task self-efficacy was the strongest factor ( β = .16–.43; p < .05) related to use within each corresponding zone. Additionally, gender moderated several relationships between personal and environmental factors with use of the CRF and the distinct zones.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".