Agricultural injuries among farm and non‐farm children and adolescents in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: Understanding of the specific risk of agricultural injury sustained by different populations of children and adolescents is needed for effective safety intervention. OBJECTIVE: To compare the rates and patterns of agricultural injury incidence (fatal and non-fatal injury) between farm and non-farm children less than 18 years of age in Alberta, Canada. METHODS: A total of 115 378 children (five subgroups: two groups of farm children and three groups of non-farm children) in Alberta were followed from 1999 to 2010 to examine injury incidence using the linkage of three administrative health databases. A recurrent event survival analysis using Cox proportional hazards regression was carried out. RESULTS: A total of 1 849 agricultural injury episodes (1 616 emergency department visits, 225 hospitalizations, and 8 deaths) were identified from 1999 to 2010. The age- and gender-adjusted rate (per 100 000 person years) of agricultural injury was 672.3 for rural-living farm children, 369.4 for urban-living farm children, 180.2 for rural non-First Nations (FN) children, 64.4 for rural FN children, and 23.7 for urban children in descending order. CONCLUSION: Specific strategies for different children's populations to prevent agricultural injuries and to extend agricultural injury controls to non-farming populations are needed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".