Neuroticism, marital violence, and the moderating role of stress and behavioral skills.
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
Do high levels of neuroticism predict intimate partner violence (IPV)? Although neuroticism may predispose partners to increased risks of IPV perpetration, the extent to which it predicts such perpetration is likely to depend on the broader context of the relationship. Consistent with this prediction, the current longitudinal study of 169 community couples revealed that the effects of neuroticism on IPV perpetration over the first 4 years of marriage were moderated by observations of problem-solving behavior and objective ratings of chronic stress. Specifically, although husbands and wives who scored higher on a measure of neuroticism at the outset of marriage engaged in more IPV throughout the marriage on average, those who possessed more effective problem-solving skills or experienced lower levels of stress were significantly less likely to engage in IPV. Results highlight the importance of considering the broader relationship context when examining predictors of specific interpersonal processes.
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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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