Suicide and Deliberate Self-injurious Behavior in Juvenile Correctional Facilities: A Review.
Bibliographic record
Abstract
OBJECTIVE: Describe the rates of suicidal ideation, self-injury, and suicide among detained youth as well as risk factors and preventive measures that have been attempted. METHOD: Literature searches in PubMed, PsycINFO, and the Social Science Citation Index were undertaken to identify published studies written in English. Governmental data was also included from English-speaking nations. RESULTS: The adjusted risk of suicide was 3 to 18 times higher than age-matched controls. The prevalence of lifetime suicidal ideation ranged from 16.9% to 59% while lifetime self-injury ranged from 6.2% to 44%. Affective disorders, borderline personality traits, substance use disorders, impulse control disorders, and anxiety disorders were associated with suicidal thoughts and self-injury. Screening for suicidal ideation upon entry was associated with a decreased rate of suicide. CONCLUSIONS: All youth should be screened upon admission. Identified co-morbid disorders should also be treated.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".