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Record W1493697528 · doi:10.1080/00224499.2014.996279

Consensual Victim–Perpetrator Intercourse after Nonconsensual Sex: The Impact of Prior Relationship

2015· article· en· W1493697528 on OpenAlexaff
Megan L. Sawatsky, Samantha J. Dawson, Martin L. Lalumière

Bibliographic record

VenueThe Journal of Sex Research · 2015
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsSexual intercoursePsychologyOddsClinical psychologyDevelopmental psychologyDemographySocial psychologyPopulationMedicineLogistic regression

Abstract

fetched live from OpenAlex

Some female victims of nonconsensual sex subsequently have consensual sexual intercourse with the perpetrator and are more likely to do so if intercourse occurred during the nonconsensual sex than if it did not. Some evolutionary psychologists have postulated that there is something significant about nonconsensual intercourse that causes women to subsequently have a sexual relationship with the perpetrator (e.g., risk of pregnancy). In this study, we investigated a parsimonious explanation that has previously been overlooked: Intercourse is more likely during nonconsensual sex when the victim and perpetrator have previously had a sexual relationship; thus, subsequent consensual intercourse may simply be a continuation of that prior relationship. A sample of 945 women completed an Internet-based survey, of whom 41% had experienced nonconsensual sex since age 14. As expected, victims who had intercourse with perpetrators prior to the nonconsensual sex event were significantly more likely than other victims to experience nonconsensual intercourse and to engage in subsequent consensual intercourse with the perpetrator. When considering only the small subsample of victims who never had a prior romantic or sexual relationship with the perpetrator, the odds of subsequent consensual intercourse were still significantly greater following nonconsensual sex with intercourse versus without intercourse.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.227
GPT teacher head0.511
Teacher spread0.284 · 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.

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

Citations5
Published2015
Admission routes1
Has abstractyes

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