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Record W2337966027 · doi:10.1177/1079063216630749

Preventative Services for Sexual Offenders

2016· article· en· W2337966027 on OpenAlexaff
Lyne Piché, Jeffrey Mathesius, Patrick Lussier, Anton Schweighofer

Bibliographic record

VenueSexual Abuse · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsBurnaby HospitalUniversité LavalSimon Fraser UniversityAbbotsford Veterinary Clinic
Fundersnot available
KeywordsPsychological interventionPsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

The role of primary prevention of sexual offences is an understudied area. The current study examined a sample ( N = 100) of men charged or convicted of a sexual offence to determine their interest in interventions that could be offered prior to offending, reasons for not seeking out interventions in the past, and demographic information including onset of deviant sexual fantasy and interests. The majority indicated that preventative interventions, including individual and group treatment, would have been beneficial, but inaccessibility of interventions and fear of arrest prevented them from seeking services. The findings suggest that men who progress to committing a sexual offence are interested in preventative interventions but require information regarding availability of accessible support and the development of primary prevention structures to fulfill society's desire to prevent sexual offending.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.001

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 head0.334
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations34
Published2016
Admission routes1
Has abstractyes

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