Intrusive social images in individuals with high and low social anxiety: a multi-method analysis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Models of social anxiety suggest that intrusive images/memories are common in social anxiety and contribute to the maintenance of social anxiety. AIMS: We examined the context and phenomenological features of intrusive social images using quantitative and qualitative measures across various levels of social anxiety. METHOD: Undergraduate students (n = 191) completed measures of social anxiety (i.e. Social Interaction Anxiety Scale and Social Phobia Scale) and wrote a description of an intrusive social image. Individuals who reported an intrusive social image (n = 77) rated the frequency, interference and phenomenological (e.g. vividness, emotional intensity) characteristics of the image. A content analysis of the intrusive image narratives was completed by independent raters. RESULTS: High social anxiety (HSA) increased the likelihood and frequency of experiencing intrusive images, and to some extent the interference caused by these images. However, the characteristics of these images with regard to their content and quality were similar across levels of social anxiety. Among participants who provided narratives, HSA individuals (n = 34) did not differ from low socially anxious (LSA) individuals (n = 28) in themes that reflect concerns about their own thoughts, actions and behaviours. However, HSA individuals reported greater concerns about how other individuals would react, and their intrusive images were often from an observer perspective when compared with LSA individuals. CONCLUSIONS: These results are interpreted in relation to cognitive models of emotion, memory and cognitive behavioural models of social anxiety.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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 it