Forty Hours Doesn't Work for Everyone: Examining Employee Preferences for Work Hours
Bibliographic record
Abstract
Current economic conditions have caused many employers to reduce employees? work hours?a trend that will likely continue if the economy worsens. Yet research on work hours is limited, as most studies in this area have focused on the effects of employees? working in excess of a 40-hour work week. This report seeks to specifically examine the effect of ?hours mismatch,? which is defined as the mismatch between the number of hours the employee desires to work and the actual number of hours worked. Based on a study of 1,032 individuals, the results show that hours mismatch is an important predictor of attitudinal outcomes, including life satisfaction, work-family conflict, job stress, and intent to turn over. Moreover, the measurement of difference is generally more predictive than simply measuring hours worked. The results show that working either more than the desired hours or less than desired hours has effects on attitudes like job stress, intent to turn over, and life satisfaction. Although employees disliked working ?over hours,? a substantial shortage of work hours was far worse. Although employers may face the need to reduce workers? hours, this study suggests the importance of taking into account workers? preferences when determining work schedules, or at least understanding the kind of psychological impact that reduced hours will have on their workforce.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".