Epidemiological investigation of a youth suicide cluster: Delaware 2012.
Bibliographic record
Abstract
UNLABELLED: In the first quarter of 2012, eight youth (aged 13-21 years) were known to have died by suicide in Kent and Sussex counties, Delaware, twice the typical median yearly number. State and local officials invited the Centers for Disease Control and Prevention to assist with an epidemiological investigation of fatal and nonfatal youth suicidal behaviors in the first quarter of 2012, to examine risk factors, and to recommend prevention strategies. METHODS: Data were obtained from the Delaware Office of the Medical Examiner, law enforcement, emergency departments, and inpatient records. Key informants from youth-serving organizations in the community were interviewed to better understand local context and perceptions of youth suicide. RESULTS: Eleven fatal and 116 nonfatal suicide attempts were identified for the first quarter of 2012 in Kent and Sussex counties. The median age was higher for the fatalities (18 years) than the nonfatal attempts (16 years). More males died by suicide, and more females nonfatally attempted suicide. Fatal methods were either hanging or firearm, while nonfatal methods were diverse, led by overdose/poisoning and cutting. All decedents had two or more precipitating circumstances. Seventeen of 116 nonfatal cases reported that a peer/friend recently died by or attempted suicide. Local barriers to youth services and suicide prevention were identified. DISCUSSION: Several features were similar to previous clusters: Occurrence among vulnerable youth, rural or suburban setting, and precipitating negative life events. Distribution by sex and method were consistent with national trends for both fatalities and nonfatalities. References to the decedents in the context of nonfatal attempts support the concept of 'point clusters' (social contiguity to other suicidal youth as a risk factor for vulnerable youth) as a framework for understanding clustering of youth suicidal behavior. Recommended prevention strategies included: Training to identify at-risk youth and guide them to services; development of youth programs; monitoring trends in youth suicidal behaviors; reviewing evidence-based suicide prevention strategies; and continued implementation of CDC media guidelines for reporting on suicide.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".