Truck drivers hours-of-service regulations and occupational health
Bibliographic record
Abstract
Major industrialised countries, like the United States, Canada, Australia and countries of the European Union (EU) have Hours-of-Service (HoS) regulations for truck drivers that stipulate duration of continuous driving and rest periods. The purported aim is the improvement of road safety by reducing fatigue and drowsiness, but the regulations can also have a strong impact on the working conditions for drivers. Better working conditions for truck drivers is one of the aims of the EU HoS regulations, but they do not seem to fully produce the desired benefits. Truck drivers continue to have a high prevalence of back disorders, which have been linked with the time spent driving. They also have a high incidence of heart disease, which might be due to stress factors at work. Stress levels can be affected by HoS regulations, that leave the driver little job control and lead to social isolation. HoS regulations could contribute more to the improvement of working conditions of truck drivers through counteracting irregular work schedules, night driving and social isolation. Moving the focus from simple control of time spent driving or not driving to fatigue management could improve job control and working conditions for truck drivers without loss of traffic safety.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".