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Record W2723875990 · doi:10.1080/13552600.2017.1334967

Substance abuse among sexual offenders: review of research and clinical implications

2017· article· en· W2723875990 on OpenAlexaff
Jeffrey Abracen, Jan Looman, Meaghan Ferguson

Bibliographic record

VenueJournal of Sexual Aggression · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsYork UniversityProvidence Health Care
Fundersnot available
KeywordsPsychologySubstance abuseAlliancePsychiatrySexual abuseAlcohol abuseClinical psychologyHuman factors and ergonomicsPoison controlSuicide preventionMedicineMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

Substance abuse, and in particular alcohol abuse, has been linked to the aetiology and maintenance of violent offending generally and sexual offending specifically. The current paper reviews the literature pertaining to substance abuse among sexual offenders and highlights theoretical developments in the area. An emphasis on issues associated with the therapeutic alliance is stressed when working with high-risk clients who present with multiple needs, including alcohol abuse. The discussion concludes with some practical suggestions regarding assessment and treatment of groups of moderate- to high-risk offenders.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.563
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.222
GPT teacher head0.509
Teacher spread0.286 · 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

Citations21
Published2017
Admission routes1
Has abstractyes

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