<p>Violence after discharge from forensic units in the safe pilot study: a prospective study with matched pair design</p>
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
OBJECTIVE: This paper reports on a prospective naturalistic study of violent recidivism after discharge from forensic mental health. Main aims were to find predictors of violence and to test the feasibility of a matched pair design for this purpose. METHODS: Patients from the Safe pilot project (n=18) and a group of controls (n=18) were matched on 10 variables, such as diagnosis, seriousness of violence, setting after discharge, and risk management plans. All the Safe pilot patients had been through repeated measurement of dynamic risk factors of violence the year before discharge to develop efficient risk management plans for use after discharge. We wanted to test whether violent recidivism during follow-up would be lower and less serious in the Safe pilot group. RESULTS: We found no significant between-group difference concerning number of patients with violent recidivism. However, the Safe pilot patients had significantly lower rates of violence and fewer severe violent episodes. In the control group, there was a significant association between a high number of risk management plans and high rates of violence. There was a statistical trend for the opposite association in the Safe pilot group. CONCLUSION: We discuss this in terms of a possible gap between the development and implementation of plans.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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