Risk‐<scp>R</scp>elated and <scp>P</scp>rotective <scp>C</scp>orrelates of <scp>N</scp>onsuicidal <scp>S</scp>elf‐<scp>I</scp>njury and <scp>C</scp>o‐<scp>O</scp>ccurring <scp>S</scp>uicide <scp>A</scp>ttempts among <scp>I</scp>ncarcerated <scp>W</scp>omen
Bibliographic record
Abstract
Individual and environmental correlates of nonsuicidal self-injury (NSSI) and co-occurring suicide attempts (SA) among incarcerated women (N = 104) were examined. Participants completed measures of putative risk and protective factors, including coping styles, childhood maltreatment, and hopelessness. Results indicated that active coping was uniquely, negatively associated with the presence and frequency of NSSI, whereas avoidant coping and childhood physical/emotional abuse were positively associated with NSSI frequency. Conversely, among women with a history of NSSI, hopelessness was uniquely, positively associated with the presence and frequency of SA. Further, childhood sexual abuse was associated with the presence of SA, while physical/emotional abuse was associated with SA frequency. Hopelessness was more strongly related to SA frequency than NSSI frequency. These findings help disentangle the unique risk and protective factors for NSSI and co-occurring SA in incarcerated samples.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".