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Record W2286981725 · doi:10.1017/s1092852915000322

Risk reduction treatment of psychopathy and applications to mentally disordered offenders

2015· review· en· W2286981725 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCNS Spectrums · 2015
Typereview
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPsychopathyRecidivismPsychologySchizophrenia (object-oriented programming)RehabilitationPsychiatryAntisocial personality disorderClinical psychologyPoison controlInjury preventionMedicineMedical emergencyPersonalitySocial psychology

Abstract

fetched live from OpenAlex

Therapeutic nihilism on treating psychopathy is widespread and is largely based on many outdated and poorly designed studies.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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.076
GPT teacher head0.396
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it