Bibliographic record
Abstract
It is common in studies of interpersonal characteristics to examine personality variables as static predictors. Yet in recent years it has also become possible to examine personality and related interpersonal processes as they unfold over time in association with event specific cues. The present article reviews research that (1) identifies behaviors that reflect the occurrence of hostile-irritable-quarrelsome traits in daily life, (2) demonstrates both the stability and within-person variability of these behaviors over time, (3) documents event-level interpersonal cues that are systematically associated with within-person variation in quarrelsome behavior, and (4) describes how dispositional level agreeableness and irritability moderate the associations of event-level cues with quarrelsome behavior. The influence of the neurotransmitter serotonin on quarrelsome behavior is also considered. The studies indicate that quarrelsome individuals have reduced affective reactivity to engaging in quarrelsome behavior, increased behavioral reactivity to perceptions of quarrelsomeness in others, and greater responsiveness to change in serotonin levels.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".