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Record W2094534317 · doi:10.1177/0886260505278262

Psychopathy, Treatment Behavior, and Recidivism

2005· article· en· W2094534317 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

VenueJournal of Interpersonal Violence · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsRecidivismPsychopathyCommitPsychologyAntisocial personality disorderPoison controlInjury preventionClinical psychologyHuman factors and ergonomicsPsychiatryPersonalityMedicineSocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

Seto and Barbaree reported the unexpected finding that adult male sex offenders who scored higher on psychopathy and exhibited better behavior in treatment were almost four times more likely to commit a new serious offence than other offenders once released. The present study reexamined this sample after a longer follow-up time using more complete recidivism data from a national police database. Although psychopathy continued to be a significant predictor of general and serious recidivism, treatment behavior was no longer related to either general or serious recidivism, and there was no statistically significant interaction between psychopathy and treatment behavior. Additional analyses ruled out the possibility that the differences between studies could be accounted for by the different average length of follow-up. A direct comparison of the two sources of recidivism data showed that differences in recidivism between subgroups were reduced by using the more complete recidivism data.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.332
Teacher spread0.306 · 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