The Association Between Previous Suicide Attempts and Risk Level According to the Static‐99R in Men Who Have Sexually Offended
Bibliographic record
Abstract
BACKGROUND: Suicide is a leading cause of death within correctional institutions, with men convicted of sexual offences over-represented among those who have attempted suicide. Despite an increased risk for suicidality, limited research has examined how past suicide attempts are associated with sexual offending and specific risk domains on assessment tools. AIM: In consideration of shared risk factors for suicidality and sexual offending, the present study examined the association between previous suicide attempts and sexual offending, particularly in terms of risk domains. METHODS: The study sample comprised 369 men who underwent a comprehensive psychosexual assessment at a large sexual behaviour clinic between 1995 and 2006. Suicide attempt history was coded from clinical files and the association with Static-99R scores, recidivism, sexual interest in children, antisocial traits and diagnosis, and demographic variables was examined. RESULTS: Of our participants, 12.5% self-reported having previously attempted suicide. Although there was no significant association between Static-99R scores and previous suicide attempts, the magnitude of the effect was the same as previous research. Previous suicide attempts were significantly associated with an individual's age, prior non-sexual violence, and four or more previous sentencing dates. CONCLUSION: Given the limited research in this area, the findings are important for increasing the understanding of suicide risk among people who have sexually offended. Study results suggest the need for an increasing understanding of suicide risk and more targeted suicide assessment and management strategies for those with sexual convictions.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".