Focus on pediatric intentional trauma
Bibliographic record
Abstract
BACKGROUND: Based on our previous study, pediatric intentional trauma injuries with Injury Severity Scores (ISS) ≥ 12 were more commonly observed in the urban than the rural setting (15.2% vs. 5.5%) in Alberta from 1996 to 2006. We wish to understand differences between urban and rural pediatric intentional trauma to plan for prevention and supportive strategies. METHODS: Data were extracted from the Alberta Trauma Registry on pediatric patients (0-17 years) with ISS ≥ 12, treated from 1996 to 2010 at the Stollery Children's Hospital. Statistical analysis was made comparing urban versus rural groups using t test and χ2 with p < 0.05 considered significant. RESULTS: There were 170 pediatric patients who suffered intentional injury (urban = 58.3%; rural = 41.8%; not significant), with a majority of males (72.4%). Two groups were predominant: the very young (<1 year) at 17.1% of all injuries and the teens (≥ 15 years) at 54.1%. The cause of intent injury was child abuse (31.2%), assault with blunt object (24.6%), assault with a sharp object (22.9%), and suicide (18.2%). The mean ISS was 22.9 ± 7.8 standard deviation. Tragically, 29 patients (17.1%) died. There were no differences between urban and rural pediatric trauma in terms of age, gender, cause of injury, ISS, survival, length of stay, pediatric intensive care unit length of stay, number of operations needed, or alcohol. CONCLUSION: An important pattern of intentional injuries can be seen where preventative efforts can be strengthened regardless of urban or rural area: the very young as shaken baby cases and the teens, who unfortunately, accounted for the majority of suicidal attempts.
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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".