Examining Positive and Negative Reactions and Conciliatory Behaviors After Partner Violence Perpetration
Bibliographic record
Abstract
This study investigated positive and negative reactions and conciliatory behaviors after perpetration of intimate partner violence (IPV). The goals were to examine the rates of these reactions and their associations with key attitudinal and personality factors. During program intake at a community agency, 172 partner violent men completed assessments of positive reactions (e.g., feeling justified) and negative reactions (e.g., feeling ashamed) after IPV, conciliatory behaviors after IPV (e.g., buying flowers for the partner), frequency of physical assault and abuse perpetration, and motivational readiness to change. In addition, a subset of participants ( n = 64-71) completed assessments of outcome expectancies of IPV and borderline, antisocial, and psychopathic personality characteristics. The vast majority of participants (89.8%) reported negative reaction(s) after IPV; 32.7% reported positive reaction(s), and 67.5% reported conciliatory behavior(s). Positive reactions after IPV were associated with positive outcome expectancies of IPV, more frequent abuse perpetration, and antisocial features. Negative reactions after IPV were associated with greater motivation to change, more frequent abuse perpetration, and borderline features, and were inversely linked to psychopathic traits. Conciliatory behaviors were associated with motivation to change, borderline characteristics, and lower levels of psychopathic traits. Cognitive, emotional, and behavioral reactions to IPV may be important for stimulating clinical discussion of motivations and barriers to change, and can inform the functional analysis of IPV.
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 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 | 0.001 |
| 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".