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Record W2133150121 · doi:10.1023/a:1012710424821

Investigation of the criminal and conditional release profiles of Canadian federal offenders as a function of psychopathy and age.

2001· article· en· W2133150121 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLaw and Human Behavior · 2001
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMinistry of Community Safety and Correctional ServicesUniversity of British ColumbiaDalhousie University
FundersDalhousie University
KeywordsPsychopathyPsychologyConvictionCriminal ConvictionClinical psychologyPsychiatrySocial psychologyPersonalityPolitical scienceLaw

Abstract

fetched live from OpenAlex

Using the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991) diagnostic cut-off score of 30, the complete criminal career and community release profiles of 317 Canadian federal offenders (224 low scorers and 93 scoring within the psychopathic range) were investigated. Adult crimes were coded according to age at commission as well as either violent, nonviolent, or nonsexually violent. Changes in performance following release into the community also were examined. Results indicated that offenders scoring within the psychopathic range consistently committed more violent and nonviolent crimes than their counterparts for about three decades, spanning their late adolescence to their late 40s. Numbers of nonviolent criminal offenses committed by high PCL-R scorers declined considerably after age 30 relative to violent offenses, which declined and then rebounded in the late 30s before a major reduction was evidenced. Throughout adulthood, high PCL-R scorers failed during community release significantly faster than did low scorers. Importantly, from a risk management perspective, the release performance of low PCL-R scorers improved with age, whereas the opposite was seen for high scorers. Further, offenders scoring high on the PCL-R did not show a lower charge to conviction ratio with age, suggesting that they may not have been getting better at manipulating the legal system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.983

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.295
Teacher spread0.243 · 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