The Long Haul Home: The Relationship between Commuting Distance, Work Hours, Work-to-Family Conflict, and Psychological Distress
Bibliographic record
Abstract
Our study reevaluates the impact of commuting on mental health, challenging the prevailing view of commuting solely as a job-related demand or stressor that leads to increased mental health problems. Using the 2011 Neighbourhood Effects on Health and Well-Being Study from Toronto, we explore the dual perspectives of commuting distance as a stressful demand versus a potentially beneficial resource among parents of minor children (n = 299). Multivariate results reveal that commuting distance alone is not significantly linked to mental health as measured by psychological distress. However, the nature of commuting—whether it is viewed as a demand or a resource—depends on other factors in parents’ lives. Specifically, our results indicate that an increase in commuting distance exacerbates the negative effects of work hours on psychological distress while simultaneously buffering against the impact of work-to-family conflict on this outcome irrespective of gender.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".