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Record W2081966327 · doi:10.1177/0886260506290201

Prevalence and Predictors of Dating Violence Among Adolescent Female Victims of Child Sexual Abuse

2006· article· en· W2081966327 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Interpersonal Violence · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDating violenceSexual abusePoison controlInjury preventionSuicide preventionDomestic violenceSexual violencePsychologyHuman factors and ergonomicsClinical psychologyOccupational safety and healthSexual intercourseChild abuseMedicinePsychiatryPopulationMedical emergencyCriminology

Abstract

fetched live from OpenAlex

The purpose of this study was to advance knowledge of dating violence behaviors among adolescent victims of child sexual abuse (CSA), first, by determining the prevalence of psychological and physical dating violence and the reciprocity of violence, and second, by investigating the influence of certain CSA characteristics to dating violence. Respondents included 126 females ages 13 to 17 years. More than 45% reported experiencing some sort of physical violence in their dating relationships. Psychological violence was reciprocal in more than 90% of the cases. Multiple regression analysis revealed a significant contribution of CSA characteristics. Multiple regression analyses revealed that the duration of the sexual abuse and the presence of violence or completed intercourse during the abuse could significantly contribute to dating violence above and beyond other known risk factors. Discussion underscores the need to gain a better understanding of CSA and other risk factors that might influence violent dating behaviors.

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.

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 score0.025
Threshold uncertainty score0.764

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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