Lifetime and Jail-Specific Suicidal Ideation: Prevalence and Correlates in a Sample of People in Jail in the United States
Bibliographic record
Abstract
Despite high suicide mortality in U.S. jails, there is limited research into precursors for suicide in this population, such as suicidal ideation. The current study examined the prevalence and correlates of lifetime and jail-specific suicidal ideation among a sample of 196 individuals (137 men) in custody in a U.S. jail. Nearly half the sample had reported lifetime suicidal ideation (45%), whereas 30% had reported jail-specific suicidal ideation. Adjusted correlates of lifetime suicidal ideation included a history of mental illness (OR = 2.79) and drug use (OR = 2.70). Adjusted correlates of jail-specific suicidal ideation included a history of mental illness (OR = 2.74), drug use (OR = 3.16), and a dehumanizing custodial environment (OR = 3.74). Some theoretically and empirically relevant factors were not significantly associated with suicidal ideation. Both expected and unexpected findings are discussed within the context of suicide theory and research, and practical implications are explored.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".