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Record W4206318685 · doi:10.1080/13552600.2021.2015467

The association between sentencing and recidivism in men who have committed a sexual offence

2022· article· en· W4206318685 on OpenAlexaffabout
Sarah Moss, Skye Stephens, Michael C. Seto

Bibliographic record

VenueJournal of Sexual Aggression · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsRoyal Ottawa Mental Health CentreUniversity of OttawaSaint Mary's University
Fundersnot available
KeywordsRecidivismPsychologySex offenseSentenceCommitPopulationPoison controlInjury preventionPsychiatryCriminologySexual abuseDemographyMedical emergencyMedicineSociology

Abstract

fetched live from OpenAlex

There have been few studies examining the impact of sentencing decisions on recidivism in individuals who commit sexual offences, which is important as this population may face more stigma, and different conditions in the community, than individuals who have committed non-sexual offences. The present study examined how sentence type and custodial sentence length impacted the incidence of sexual, violent, and non-violent recidivism in 659 Canadian men who were convicted of a sexual offence. Findings suggested that custodial sentences were associated with a greater likelihood of reoffending for all types of recidivism, except sexual recidivism. Custodial sentences of less than two years were consistently associated with an increased likelihood of non-sexual recidivism compared with those who served no time in custody. There was more mixed evidence for whether custodial sentences and custodial sentence length added to the prediction of recidivism once risk and sexual offence type were accounted for.

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)0.004
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 score0.279
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.309
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2022
Admission routes2
Has abstractyes

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