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Record W4210681291 · doi:10.1080/13552600.2021.2024287

Comparing distorted cognitions among university students and individuals convicted of sexual offences

2022· article· en· W4210681291 on OpenAlexaff
Laleh Dadgardoust, Alisia M. Palermo, Leigh Harkins, Jeffrey Abracen, Jan Looman

Bibliographic record

VenueJournal of Sexual Aggression · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsKingston Health Sciences CentreMinistry of Community Safety and Correctional ServicesOntario Tech University
Fundersnot available
KeywordsPsychologyCognitionSex offenseHuman factors and ergonomicsPoison controlSuicide preventionClinical psychologyInjury preventionPsychiatrySexual abuseMedicineMedical emergency

Abstract

fetched live from OpenAlex

Very little contemporary research has investigated the similarities and differences between individuals convicted of sexual offences and community samples with reference to beliefs supportive of sexual violence. This study compared the rape supportive cognitions of a group of high-risk individuals incarcerated for sexual offences to a group of university students. Antisocial cognitions were also examined in order to determine if such views accounted for any observed findings. A group of 304 male university students were compared to 301 men convicted of sexual offences attending assessment or treatment in an inpatient based treatment programme. Results indicated no significant differences between the rape supportive cognitions and antisocial cognition of people convicted of sexual offences and university students. Further analyses revealed that students who endorsed more rape supportive and antisocial cognitions reported using more coercive and aggressive tactics.PRACTICAL IMPACT STATEMENT:This article will assist researchers and practitioners in designing strategies for prevention of sexual violence among university students by comparing students’ distorted cognition to individuals convicted of sexual offending and by shedding light on the association between distorted cognitions and perpetration of sexual violence.

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)0.001
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 score0.282
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.062
GPT teacher head0.336
Teacher spread0.274 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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