Risk reduction treatment of psychopathy and applications to mentally disordered offenders
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
Therapeutic nihilism on treating psychopathy is widespread and is largely based on many outdated and poorly designed studies. Important recent advances have been made in assessing psychopathy and recidivism risks, as well as in offender rehabilitation to reduce reoffending, all of which are now well supported by a considerable literature based on credible empirical research. A 2-component model to guide risk reduction treatment of psychopathy has been proposed based on the integration of key points from the 3 bodies of literature. Treatment programs in line with the model have been in operation, and the results of early outcome evaluations are encouraging. Important advances also have been made in understanding the possible etiology of mentally disordered offenders with schizophrenia and history of criminality and violence, some with significant features of psychopathy. This article presents a review of recent research on risk reduction treatment of psychopathy with the additional aim to extend the research to the treatment of mentally disordered offenders with schizophrenia, violence, and psychopathy.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.001 |
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