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Record W2102233806 · doi:10.1007/s11194-006-9009-0

Risk Factors for Criminal Recidivism in Older Sexual Offenders

2006· article· en· W2102233806 on OpenAlex
Seena Fazel, Gabrielle Sjöstedt, Niklas Långström, Martin Grann

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSexual Abuse · 2006
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
FundersRättsmedicinalverketNuffield Foundation
KeywordsRecidivismPrisonGeneralizability theoryPsychologyDemographyPopulationSex offenseSexual violenceInjury preventionPoison controlPsychiatrySexual abuseMedicineCriminologyDevelopmental psychologyMedical emergencySociology

Abstract

fetched live from OpenAlex

Sexual offenders constitute a substantial proportion of the older male prison population. Recent research findings, with potential consequences for risk management, indicate that recidivism risk might be lower in older sexual offenders. We followed up all adult male sexual offenders released from prison in Sweden during 1993-1997 (N=1,303) for criminal reconviction for an average of 8.9 years. We studied rates of repeat offending (sexual and any violent) by four age bands (<25, 25-39, 40-54, and 55+years), and examined whether risk factors for recidivism remained stable across age groups. Results showed that recidivism rates decreased significantly in older age bands. In addition, the effect of certain risk factors varied by age band. These findings on recidivism rates in older sexual offenders concur with studies from the United Kingdom, United States, and Canada and may suggest some generalizability in Western settings. Further research is needed to address underlying mechanisms.

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)0.001
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 score0.578
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.310
Teacher spread0.273 · 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