Anxiety, emotional security and the interpersonal behavior of individuals with social anxiety disorder
Bibliographic record
Abstract
BACKGROUND: Interpersonal functioning is central to social anxiety disorder (SAD). Empirical examinations of interpersonal behaviors in individuals with SAD have frequently relied on analogue samples, global retrospective reports and laboratory observation. Moreover, research has focused on avoidance and safety behaviors, neglecting potential links between SAD and affiliative behaviors. METHOD: The influence of situational anxiety and emotional security on interpersonal behaviors was examined for individuals with SAD (n=40) and matched normal controls (n=40). Participants monitored their behavior and affect in naturally occurring social interactions using an event-contingent recording procedure. RESULTS: Individuals with SAD reported higher levels of submissive behavior and lower levels of dominant behavior relative to controls. Consistent with cognitive-behavioral and evolutionary theories, elevated anxiety in specific events predicted increased submissiveness among individuals with SAD. Consistent with attachment theory, elevations in event-level emotional security were associated with increased affiliative behaviors (increased agreeable behavior and decreased quarrelsome behavior) among members of the SAD group. Results were not accounted for by concurrent elevations in sadness or between-group differences in the distribution of social partners. CONCLUSIONS: These findings are consistent with predictions based on several theoretical perspectives. Further, the present research documents naturally occurring interpersonal patterns of individuals with SAD and identifies conditions under which these individuals may view social interactions as opportunities for interpersonal connectedness.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".