Victimization and Perpetration of Intimate Partner Violence and Substance Use Disorders in a Nationally Representative Sample
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.
Bibliographic record
Abstract
The aim of this study was to examine the relationship between perpetration and victimization of physical and sexual intimate partner violence (IPV) in the past year and substance use disorders (SUDs) in the past year, including alcohol, sedatives/tranquilizers, cocaine, cannabis, and nicotine stratified according to sex. Data were from the National Epidemiologic Survey on Alcohol and Related Conditions. A series of adjusted logistic regression models were conducted. Among men and women, all types of SUDs were associated with increased odds of IPV perpetration (odds ranging from 1.4 to 8.5 adjusting for sociodemographic variables). IPV victimization increased the odds of having all types of SUDs for male and female victims, with the exception of sedatives/tranquilizer abuse/dependence among women (odds ranging from 1.5 to 6.0 adjusting for sociodemographic variables). Substances that had the most robust relationship with perpetration and victimization of IPV included alcohol and cannabis, after adjusting for sociodemographic variables, mood disorders, anxiety disorders, personality disorders, and mutual violence.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it