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Record W4286717177 · doi:10.1177/08862605221109892

University Student Attitudes Toward Persons With a History of Adult Sexual Violence and Their Correlates With Policy, Treatment, and Management

2022· article· en· W4286717177 on OpenAlexafffundabout
Gabriela Corăbian, Neil R. Hogan, Mark E. Olver

Bibliographic record

VenueJournal of Interpersonal Violence · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of SaskatchewanAlberta Hospital Edmonton
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Saskatchewan
KeywordsRecidivismPsychologyPopulationSexual violenceSuicide preventionPoison controlClinical psychologyInjury preventionSocial psychologyCriminologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Empirical evidence suggests that postsecondary students are disproportionately impacted by sexual violence. Further evidence suggests that most persons convicted of crimes involving sexual violence return to the community, and that social factors, including public policy and community members’ attitudes and perceptions, are key determinants of successful reintegration among these persons. Taken together, these observations suggest that students’ perspectives should be considered in discourse related to reintegration. The current study aimed to assess the attitudes of a university undergraduate sample toward men convicted of adult sexual violence as well as their level of support for various community-based policies to manage this population upon release from custody. Participants ( N = 333) completed a survey battery comprising measures of three dimensions of attitudes toward persons who have sexually offended, perceptions of recidivism and treatment response, and support for various incapacitation/control (IC) and rehabilitative/reintegration (RR)-based policies. Results varied depending on the dimension of attitudes measured, with the affective component appearing to be the most markedly negative. Participants endorsed a mixture of IC and RR policies, with attitudinal measures predicting policy endorsement controlling for relevant demographic variables. The results provide a framework for future research surveying a more representative sample of the Canadian public, while also providing useful information for policymakers relying on community support to reduce 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 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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.266
Teacher spread0.250 · 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 designQualitative
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

Citations4
Published2022
Admission routes3
Has abstractyes

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