Risk of violence by inmates with childhood trauma and mental health needs.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Inmates who experienced childhood trauma have higher rates of institutional violence. However, the potential intermediate roles of co-occurring mental health and substance use needs and early justice involvement have not previously been considered. The current study examined the relationships between trauma, mental health, substance abuse, youth criminal charges, and institutional violence during the first 180 days of incarceration. As secondary aims, we explored whether these associations differed by sex or differed for inmates of Aboriginal ethnicity. Secondary data from prison records for all 5,154 inmates admitted to a federal prison during 2011 were collected. Path analysis was used to estimate the direct and indirect associations between trauma and institutional violence. Approximately 45% of inmates reported childhood trauma, which was associated with a higher prevalence of co-occurring mental health and substance abuse needs, and youth criminal charges. Although mental health, substance abuse, and youth criminal charges interacted with one another in predicting violence, their associations were similar for those with and without histories of trauma. A direct association between trauma and institutional incidents remained (Relative Risk [RR] = 1.38, 95% CI [1.07, 1.78]) after accounting for indirect associations through these co-occurring risk factors. There was insufficient evidence to suggest that these associations differed between men and women or between Aboriginal and non-Aboriginal inmates. Given the high co-occurrence of multiple health and behavioral risk factors for inmates with traumatic histories, clarifying which factors are causally associated and reversible is needed to inform effective trauma informed care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 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 it