Work-Related Musculoskeletal Risk Factors and Shoulder & Neck Symptoms in Academic Personnel
Bibliographic record
Abstract
The purpose of this report was to identify the level of risk for shoulder and neck, work-related musculoskeletal injuries among faculty, administrators, and support staff at the Army Medical Department Center and School, Academy of Health Sciences. The Department of Defense (DoD) Job Requirements and Physical Demands (JRPD) survey was used to examine risk factors associated with work activities and organizational factors, as well as self-reported healthcare and symptoms of employees. Over half of the 414-person sample (54%) reported job-related symptoms in the shoulder and neck region. Those experiencing symptoms were more likely to be female, older, civilian (as opposed to active duty military), and have worked more than 5 years on their job (p < 0.01). Job characteristics associated with symptoms included postures associated with static loads, including holding arms in an outstretched position, working with the neck held in flexion or extension, and cradling a phone between the neck and shoulder. Organizational risk factors included high workload, conflicting demands, and inability to access pertinent information (p < 0.05).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".