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Record W6963777756 · doi:10.25384/sage.c.6926329

Predictors of Individual and Interpersonal Adjustment Among Non-offending Partners of Individuals With Histories of Sexual Offenses

2023· other· en· W6963777756 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInterpersonal communicationStressorPsychological interventionInterpersonal relationshipCoping (psychology)Human factors and ergonomicsPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

Recent research indicates that the consequences of sexual offenses extend beyond target victims, including to non-offending partners of individuals with sexual offense histories. However, little research has focused on non-offending partners’ wellbeing and relationships with persons with sexual offense histories leading up to and following acts of sexual aggression. Non-offending partners may be secondary victims of their partners’ offenses in managing psychological difficulties (e.g., guilt, shame), social stigma and isolation, fear for their safety, or difficulties in their romantic relationships resulting from their partners’ sexual offenses, often with minimal supports. The current study examined key correlates of individual and interpersonal adjustment among 207 non-offending partners of individuals with histories of sexual offenses who were residing in Canada (<i>n</i> = 36) or the United States (<i>n</i> = 171). Findings indicate that positive changes due to the offense (i.e., improved finances), self-esteem, interpersonal adjustment, instrumental support, lower levels of acceptance, and humor positively predicted individual adjustment. Interpersonal adjustment was predicted by trust, intimacy, partner’s stress communication, and problem-focused and emotion-focused common dyadic coping. Findings highlight the need for services for non-offending partners, including interventions that address self-esteem and practical difficulties resulting from the offense, and couples therapy to address trust issues, intimacy concerns, and shared coping with stressors related to the offense.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.319
Teacher spread0.258 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207