Transportation and well-being: exploring post-secondary students' commute satisfaction and its relationship to campus participation and success
Bibliographic record
Abstract
This Major Research Paper examines the influence of commute satisfaction on campus participation and perceived academic success of post-secondary students as indicators of their well-being. Travel and attitudinal data was analyzed for 1,931 students from Ryerson University in Toronto, Ontario to determine if students perceive their commute to be a barrier to their campus participation and academic success, and if this perception changes with commute satisfaction. A large number of students reported their commute was a barrier to their campus participation and academic success, and binomial logistic regressions revealed a significant positive association between commute satisfaction and these well-being indicators. Travel mode, travel attitudes, student type, and age were found to be statistically significant correlates of commute satisfaction. These findings suggest post-secondary administrators and urban planners can improve student well-being by implementing policies to increase commute satisfaction. Key words: travel satisfaction; subjective well-being; travel mode; post-secondary students; commute
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".