The Lessons Learned from the Canadian Forces Physiotherapy Experience during the Peacekeeping Operations in Bosnia
Bibliographic record
Abstract
The musculoskeletal injuries and soldiers' demographic profiles observed by physiotherapy (PT) officers during the Canadian Forces peacekeeping mission Op-Palladium in Bosnia between 2000 and 2004 were characterized. The number of PT visits (N = 4,167; range, 310-974) and gender distribution (N = 2,558 cases; male, 80.8%-91%; female, 9.0%-16.4%) varied between tours. On average, >30% of the entire Canadian Forces contingent required PT services. Lower limb injuries were the single leading reason for PT treatment (41.8%) followed by the spine (28.5%) and the upper limb (21.5%). The most commonly affected joints were the knee (17.2%) and ankle (16.1%), the shoulder (14.4%), and the lumbar spine (14.4%). The 26 to 35 age group and combat arms showed the highest incidence of musculoskeletal injuries (p < 0.001). The majority of cases seen were subacute and chronic (68%). Primary prevention activities and the capacity to provide the full scope of PT services were identified as two key factors contributing to the maintenance of operational readiness of the troops.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".