Work-related deaths and traumatic brain injury
Bibliographic record
Abstract
BACKGROUND: Traumatic brain injury (TBI) at the workplace is a significant contributor to the number of work-related deaths that occur per year. This study aimed to quantify and characterize these deaths in Ontario. METHODS: The study design was a case series with analytic and surveillance components. Data was obtained from the Chief Coroner's Office of Ontario from 1996-2000. RESULTS: A total of 488 work-related injury fatalities were identified. Evidence of TBI was apparent in 45% of these cases (n = 211). Industries with the highest rate of work-related TBI mortality expressed per 100,000 working population included primary industry (59.1), agriculture (24.5), construction (20.0) and transportation/communications/utilities industries (13.9). Deaths involving TBI were more likely to be due to falls than non-TBI-related deaths among workers (p = 0.0001). CONCLUSIONS: Results from this research indicate that prevention programmes should focus on decreasing falls at all ages and increasing the use of personal protective equipment.
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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".