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Record W2018469031 · doi:10.1177/0886260511423245

Past Victimizations and Dating Violence Perpetration in Adolescence

2011· article· en· W2018469031 on OpenAlexaff
Sophie Boivin, Francine Lavoie, Martine Hébert, Marie‐Hélène Gagné

Bibliographic record

VenueJournal of Interpersonal Violence · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité du Québec à MontréalUniversité Laval
Fundersnot available
KeywordsHostilityHarassmentPsychologyAngerPoison controlDating violenceInjury preventionMediationSuicide preventionHuman factors and ergonomicsDistressClinical psychologySexual violenceDomestic violenceDevelopmental psychologySocial psychologyMedical emergencyMedicineCriminology

Abstract

fetched live from OpenAlex

This study aimed to understand the nature of the relationships between three forms of past victimizations (exposure to interparental violence in childhood, sexual harassment by peers since beginning high school, prior experience of dating violence), physical dating violence perpetration by adolescents, and anger-hostility and emotional distress. The sample was composed of 1,259 high school students aged between 14 and 19 years who answered self-report questionnaires. Mediation analyses were conducted according to Baron and Kenny's approach. Logistic and linear regression analyses reveal that being victim of sexual harassment by peers and of dating violence are associated to physical dating violence perpetration via a partial mediating effect of hostility in girls. Contrary to results with girls, there is a complete mediating effect of emotional distress for boys. Results suggest that dating violence prevention and intervention strategies could be adapted according to gender and that sexual harassment should be addressed.

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 score0.124
Threshold uncertainty score0.471

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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

Citations35
Published2011
Admission routes1
Has abstractyes

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