Exploring post-secondary students' commute satisfaction and its relationship to well-being
Bibliographic record
Abstract
The relationship between commute satisfaction and subjective well-being (SWB) is an emerging topic that has yet to be explored for post-secondary students. Using a sample of 2,561 students from the 2019 StudentMoveTO survey, this MRP explores the relationship between post-secondary students’ commute satisfaction, emotional and cognitive SWB. Structured equation modelling (SEM) showed a positive association between commute satisfaction, emotional and cognitive SWB. Correlates of commute satisfaction and SWB were identified through SEM, including sociodemographic characteristics, travel characteristics, travel attitudes, and a novel finding of the social environment of a students’ neighbourhood. This MRP’s findings provide an understanding of the characteristics affecting commute satisfaction and SWB, which will help urban planners and post-secondary institutions create infrastructure and implement policy that improves commute satisfaction and mitigates the impact of commuting. Key words: commute satisfaction; subjective well-being; post-secondary 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 | 0.001 | 0.003 |
| 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) | 0.008 | 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".