Work-related mild–moderate traumatic brain injuries due to falls
Bibliographic record
Abstract
OBJECTIVE: Workplace falls are a common cause of head injuries; however, detailed study of this is limited. The objective of the study was to examine the person, environment and occupation factors associated with work-related traumatic brain injuries (WrTBI) due to falls from elevation (FFE) and falls from the same level (FFSL). METHODS: This study is a retrospective chart review. Data was extracted from consecutive medical records of workers who sustained a head injury at work and were referred to the Toronto Rehabilitation Institute for clinical assessment. RESULTS: FFE were more likely to occur in men and result in multiple traumas, compared to FFSL. FFSL occurred more equally among men and women. Slippery conditions and placement of objects were common for WrTBI due to FFSL. Change in elevation was common for WrTBI due to FFE. WrTBI due to FFE most often occurred in trades, transport occupations and the construction industry, whereas WrTBI due to FFSL most often occurred in professional, management, skilled positions and the manufacturing industry. CONCLUSIONS: Types of falls resulting in brain injury and their mechanisms of injury vary across industries and occupations. The study provides information for more tailored workplace safety strategies and primary prevention across industries.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".