Screening for suicide risk factors in prison inmates: Evaluating the efficiency of the Depression, Hopelessness and Suicide Screening Form (DHS)
Bibliographic record
Abstract
The Depression, Hopelessness and Suicide Screening Form (DHS; ) is a recently developed self‐report instrument to aid in screening inmates in the titled areas. Research has shown the DHS to have good internal consistency, factor structure and construct validity. The present study extends the previous validation research by comparing the disclosure of suicide risk factors on the DHS with both interview‐based and file review information. In addition, the DHS scores were used to predict psychological distress. The results indicate that despite the paper‐and‐pencil self‐report approach of the DHS it is comparably efficient in gathering suicide risk factors to other methods. In addition, the predictive accuracy of the DHS in identifying inmates experiencing psychological distress was confirmed. The current study has implications for the method of collection of suicide screening information. The discussion centres on the potential of self‐report in screening for suicide and self‐harm indicators in inmate populations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".