Separation, self‐disclosure, and social evaluation anxiety as facets of trait social anxiety
Bibliographic record
Abstract
In the current article, we propose an expansion of the trait anxiety concept to include interpersonal or social facets of trait anxiety involving separation from significant others and disclosing aspects of the self to others, as a supplement to the existing focus on social evaluation anxiety. Participants in three studies completed a modified version of the Endler Multidimensional Anxiety Scales that included a measure of trait social evaluation anxiety, as well as new measures of trait separation anxiety and trait self‐disclosure anxiety (i.e., three measures of trait social anxiety). Results showed that the social evaluation, separation, and self‐disclosure trait anxiety scales have strong psychometric properties and that they represent distinct but related components of trait anxiety. With respect to validity, the facets of trait social anxiety were predictive of related variables including self‐concealment, anxiety sensitivity, and trait worry. The theoretical and practical implications of a multifaceted approach to trait social anxiety are discussed in terms of an expanded multidimensional interaction model of anxiety. Copyright © 2002 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".