Alcohol Consumption and Trait Anger Strengthen the Association Between Perceived Quarrelsomeness and Quarrelsome Behavior via Feeling Angry
Bibliographic record
Abstract
BACKGROUND: Alcohol intoxication facilitates interpersonal aggression, but this effect depends on person and situation characteristics. Using the Alcohol Myopia Model, we examined the joint influence of alcohol, trait anger, and state anger on the association between perceived quarrelsomeness in an interaction partner and quarrelsome behavior in naturally occurring interpersonal interactions. METHODS: Using an event-contingent recording method over a 20-day period, community adults reported their perception of an interaction partner's quarrelsome behavior, their own anger and quarrelsome behavior, and the number of alcohol drinks consumed up to 3 hours prior to an interpersonal interaction. RESULTS: Results revealed that alcohol consumption and trait anger jointly moderated the association between perceived quarrelsomeness and quarrelsome behavior indirectly via state anger. Heightened anger experience accounted for increased quarrelsome behavior in response to perceived quarrelsomeness among higher trait anger individuals who reported increased alcohol consumption. When no alcohol was consumed, no such difference in quarrelsome behavioral response was found between low and high trait anger individuals. CONCLUSIONS: Findings suggest that alcohol consumption may strengthen the influence of perceived quarrelsomeness on a person's own quarrelsome behavior among individuals with a readiness to experience anger. Intense anger experience may undermine these individuals' ability to inhibit aggressive behaviors when under the influence of alcohol.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".