Negative Urgency and Its Role in the Association between Image Distorting Defensive Style and Reactive Aggression
Bibliographic record
Abstract
Although the association between immature defensive styles to protect oneself from conflict in emotional context and reactive aggression (RA) has been shown recently among nonclinical individuals, the factors that may explain this relationship remain poorly understood. One putative factor is negative urgency as impulsive individuals tend to react aggressively in emotional contexts. This study aims to verify whether the relationship between image distorting defensive style and RA is moderated and not mediated by negative urgency of trait impulsivity. Nonclinical participants completed the Defensive Style Questionnaire, the UPPS Impulsivity Behavior Scale, and the Reactive-Proactive Aggression Questionnaire. Contrary to what was expected, the results showed that the relationship between image distortion and RA was entirely mediated but not moderated by the effect of negative urgency. These results suggest that when individuals get in a defensive state leading to a distortion of the image of themselves and others, they become more emotionally impulsive, leading to RA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".