Anxiety and intraindividual variability in interpersonal behavior
Bibliographic record
Abstract
Individuals with anxiety are at increased risk for rejection, social isolation, and other interpersonal problems which serve as a mechanism for the worsening of anxiety over time.Considerable research has documented the mean-level behaviors characteristic of anxiety which increase risk for interpersonal problems.However, there has not been an investigation of the association of anxiety with intraindividual variability in interpersonal behavior.The present research examines the association of anxiety with forms of intraindividual behavioral variability computed as variability in a specific behavior over time (i.e.flux) or dispersion of behavior over events (i.e.spin).Interpersonal behavior is measured using the interpersonal circumplex model, which operationalizes the assessment of interpersonal behavior along two dimensions: communal (agreeable vs. quarrelsome) and agentic (dominant vs. submissive).Participants recorded their behavior using event-contingent recording; they reported their behavior during the course of daily life following interpersonal interactions.Study 1 replicated prior evidence regarding meanlevel behavioral correlates of anxiety.Beyond mean-level behaviors, anxiety was associated with elevated flux and spin at the between-person level in a community sample (Study 1) and decreases in spin followed preceding decreases in anxiety symptoms among individuals diagnosed with social anxiety disorder (Study 2).In both Study 1 and 2 there was no evidence of an association between depression and flux or spin.
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 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 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".