Case Study on Worksite Health and Wellness Program for Commercial Motor Vehicle Drivers
Bibliographic record
Abstract
Due to the elevated prevalence of overweight and obesity in the transportation industry and the risks that accompany obesity, a health and wellness (H&W) program at a leading trucking organization was initiated to reduce obesity and the associated risks. In 2008 Schneider National Inc. (SNI), along with United Healthcare (UHC) and Atlas Ergonomics, launched a company-wide, voluntary H&W Program with their employees. Atlas is a leading ergonomic service and technology provider for healthcare, office, and transportation environments. Since the H&W Program launched in 2008, UHC and Atlas have worked with SNI to offer health and wellness programs, ergonomic and injury prevention services, on-site physical therapy and health screens, and overall wellness coaching to approximately 17,000 company-insured employees, including commercial drivers, at twelve SNI operating centers across the U.S. and Canada. Employee spouses are also eligible to enroll in the H&W Program. The purpose of this Case Study is to detail SNI’s H&W Program with Atlas Ergonomics and UHC and to evaluate the opinions, perceptions, and program satisfaction of participating drivers and program staff. The findings from this Case Study will aid in the development of recommendations for a carrier-implemented H&W program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".