Suicidality among individuals with a history of criminal behavior : a test of the three step theory of suicide
Bibliographic record
Abstract
Individuals involved in the criminal justice system (CJS) have higher rates of suicidal ideation than the general population and are at an increased risk of suicide.Assessing suicide risk is challenging, as research indicates that many suicide risk assessments are more predictive of suicidal ideation than suicide attempts.Therefore, there is a need to differentiate individuals who think about suicide from those at risk of attempting suicide.Drawing on a sample of 190 Canadian adults, this study examined an ideation-to-action theory, the Three-Step Theory of Suicide (3ST), among individuals with a history of criminal behavior.Lifetime prevalence of suicidal ideation was 82% for individuals with a history of criminal behavior (n = 89), with 23.6% having attempted suicide.Results demonstrated partial support for the 3ST, although the 3ST did not replicate as expected for individuals with a history of criminal behavior.Implications and directions for future research are discussed.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".