Impact of Adverse Childhood Experiences in the Manifestation of Intimate Partner Violence Victimization and Perpetration among College Students: Gendered Perspective
Bibliographic record
Abstract
Purpose This study examined the effect of five types of adverse childhood experiences (ACEs) on Intimate Partner Violence (IPV) perpetration and IPV victimization for male and female students (N = 3,682).Method The data came from seven universities in the U.S. and Canada using multivariate logistic regression models.Results For female students, peer victimization (PV), childhood maltreatment (CM), exposure to domestic violence (EDV), drug use, and depression were significantly associated with higher odds of IPV perpetration. For male students, IPV perpetration was significantly associated with PV, CM, other physical and sexual violence (PSV), and alcohol use. IPV victimization was significantly associated with CM, EDV, PSV, drug use, and depression for female students. For male students, CM, PSV, alcohol use, and depression were associated with higher odds of IPV victimization.Discussion Because gender-specificity exists in the transmission process of ACEs and other risk factors for IPV, developing gender-specific approaches to IPV prevention and intervention on college campuses is necessary.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".