Interpersonal perception and interpersonal spin
Bibliographic record
Abstract
INTRODUCTION: Interpersonal spin is an indicator of intraindividual variability in social behavior. Spin is positively related to Neuroticism and is maladaptive, with well-documented deleterious effects on social functioning. The perceptual processes associated with spin and how spin emerges are less well-understood. The present research examines the interpersonal perception of individuals with higher spin and tests whether these perceptual processes explain the association of spin with Neuroticism. METHOD: 267 students participated in a 20-day event contingent recording procedure, reporting on social interactions via mobile application. Participants' perceptions of others' behavior, their own affect, and their own behavior were measured within and across interactions. RESULTS: We examined the affective and behavioral responses of individuals with higher spin to perceptions of others' behaviors. Individuals with higher spin showed greater affective and behavioral reactivity to perceptions of others' communal (agreeable-quarrelsome) behavior. Neuroticism predicted greater affective reactivity (i.e., steeper slopes between event-level perceived communion and negative affect), which in turn predicted higher spin. CONCLUSIONS: Individuals with higher spin may have an interpersonal style characterized by greater reactivity to perceptions of others' communal behavior. These individuals' behavioral lability may reflect underlying emotional dysregulation. These processes may ultimately interfere with the formation and maintenance of social bonds.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".