Adolescent and Young Adult Suicide: A 10‐Year Retrospective Review of Kentucky Medical Examiner Cases
Bibliographic record
Abstract
The compilation of all suicidal causes of death attained the third highest ranking of mortality between the ages of 15 and 24 following unintentional deaths and homicide in the United States, accounting for approximately 4000 deaths in 2002. A variety of biopsychosocial factors may contribute to adolescent suicidal behavior, including psychiatric disorders, risk-taking behaviors, and lack of a cohesive family unit. The authors conducted a 10-year (1993-2002) retrospective review of 108 Medical Examiner cases of suicide ages 11-17 and 358 cases ages 18-24 in Kentucky, which represents two thirds of the Coroner cases in the state. The majority of victims were male and Caucasian. The major causes of death were the same for the two age groups, specifically, firearm injury (72.2% and 70.7%), hanging (22.2% and 18.7%), and drug intoxication (2.8% and 5.3%). An integrated Coroner-Medical Examiner system profits in the public health arena by providing collaborative research data for policy decisions. The prevalence of youth suicide by firearm should prompt further discussion regarding ways to better identify high-risk adolescents and young adults and restrict pediatric access to unsecured household firearms.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".