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Record W2021321732 · doi:10.3138/cjccj.46.5.531

Lifetime Sex Offender Recidivism: A 25-Year Follow-Up Study

2004· article· en· W2021321732 on OpenAlexaffvenue
Ron Langevin, Suzanne Curnoe, Paul Fedoroff, Renee Bennett, Mara Langevin, Cheryl Peever, Rick Pettica, Shameen Sandhu

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2004
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRecidivismPsychologySex offenseCourtshipPsychiatrySex offenderInjury preventionDemographyPoison controlSexual abuseClinical psychologyMedicineMedical emergencySociologyBiology

Abstract

fetched live from OpenAlex

A sample of 320 sex offenders and 31 violent non-sex offenders, seen for psychiatric assessment between 1966 and 1974, were compared retrospectively on lifetime recidivism rates to 1999 over a minimum of 25 years. A number of criteria and data sources were used; RCMP records and hospital records were the best sources, albeit the RCMP had records for only 54.1% of the cases. Approximately three in five offenders reoffended, using sex reoffence charges or convictions or court appearances as criteria, but this proportion increased to more than four in five when all offences and undetected sex crimes were included in the analysis. Group differences in recidivism were noteworthy, with child sexual abusers and exhibitionists most likely to reoffend and incest offenders least likely. Time at large and time incarcerated played a relatively minor role overall in results, except in the case of offenders who were sexually aggressive against adult females, courtship disordered, or violent. The typical known criminal career spanned almost two decades, indicating that sex offence recidivism remained a problem over a significant part of the offenders' adult lives.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.105
GPT teacher head0.331
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations102
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207