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Record W1991546677 · doi:10.1300/j146v14n03_02

The Roles of Childhood Maltreatment and Psychopathy in Sexual Recidivism of Treated Sex Offenders

2007· article· en· W1991546677 on OpenAlex
Anne M. Dietrich, Will Smiley, Claire Frederick

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aggression Maltreatment & Trauma · 2007
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsRecidivismPsychopathyPsychologySexual abuseClinical psychologyPsychiatryFoster careSex offenderSex offensePoison controlInjury preventionMedicinePersonalityMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Abstract The Intensive Treatment Program for Sexual Offenders (ITPSO) at the Correctional Service of Canada (CSC) provides cognitive-behavioral group treatment to federally incarcerated sex offenders. Follow-up data for 81 of these men were examined, looking at psychopathy and childhood maltreatment history as potential predictors of recidivism using Survival Analysis. Offenders who had been placed in foster care as a child were more likely to recidivate; however when PCL-R Factor 2 scores (a history of antisocial behavior) were entered, they predicted over and above foster care history. Childhood physical abuse predicted sexual recidivism; however, childhood sexual abuse and PCL-R scores did not predict sexual recidivism. PCL-R Factor 2 scores predicted violent recidivism. Key Words: Psychopathychildhood maltreatmentsex offendingsex offender treatment

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.021
GPT teacher head0.310
Teacher spread0.288 · 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