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Record W3044371681 · doi:10.5964/sotrap.3713

Recidivism risk and criminogenic needs of individuals who perpetrated intimate partner sexual violence offenses

2020· article· en· W3044371681 on OpenAlexaff
Brandon Sparks, Farron Wielinga, Sandy Jung, Mark E. Olver

Bibliographic record

VenueSexual Offending Theory Research and Prevention · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMacEwan UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsRecidivismDomestic violencePsychologyIntervention (counseling)AggressionHomicideClinical psychologyMental healthIntimate partnerPsychiatrySex offensePoison controlHuman factors and ergonomicsSexual abuseMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Despite the common occurrence of sexual violence in intimate partner violence (IPV) and its association with increased risk of intimate partner homicide, intimate partner sexual violence (IPSV) is often overlooked in the literature. As a result, little is known about risk factors that may be unique to IPSV perpetrators. The present study utilizes a police-reported sample to compare the risk/need profiles of 36 IPSV and 36 IPV perpetrators by creating theoretically meaningful risk composites as proxies for a number of the central eight risk/need areas posited by Andrews and Bonta (2010, https://doi.org/10.1037/a0018362). Results indicate that the risk/need profiles of the IPSV group are more severe than the IPV group, with higher scores in measures of substance abuse, relationship instability, sexual aggression, and mental health concerns. Potential implications for IPSV assessment and intervention at the level of policing and correctional programming are discussed, including the need for higher intensity treatments and the treatment of non-criminogenic needs.

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)0.007
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.156
GPT teacher head0.408
Teacher spread0.252 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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