Child and Adolescent Suicides in Virginia: 1987 to 2003
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to better understand suicides in children and adolescents using records from the Office of the Medical Examiner of Virginia from 1987 to 2003. MAIN FINDINGS, KEY DATA, AND STATISTICS: Suicide accounted for 16.8% of unnatural deaths. Suicide rates were highest for Caucasians. Guns were the most common method of death for suicides, followed by hanging and poisoning. Poisoning other than carbon monoxide accounted for 7.8% of suicides, with tricyclic antidepressants (TCAs) the most identifiable poison. Female youths were 10 times more likely to die from TCAs than male youths, after adjusting for race and age. CONCLUSIONS: Guns and hanging were the principal methods of suicide. Among the antidepressants, TCAs have been the most common poisons used in suicide. Increasing age was a powerful determinant of suicide. Some patients may have stockpiled their TCAs for a while before their TCA overdose. Other suicide victims may have used TCA supplies from family members. Hence, some of the suicide victims may not have taken TCAs on a regular basis before committing suicide. Further exploration of TCA-induced suicidal thoughts is needed. Conclusions cannot be made at the time about the precise role that TCAs played in TCA-induced suicide reported in our study.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".