Early information processing biases in social anxiety
Bibliographic record
Abstract
Considerable controversy persists regarding the nature of threat-related attention biases in social anxiety. Previous studies have not considered how variations in the temporal and energetic dimensions of affective stimulus delivery interact with anxiety-related individual differences to predict biased attention. We administered a visual dot-probe task, using faces that varied in affective intensity (mild, moderate, strong) and presentation rate (100, 500, 1,250 ms) to a selected sample. The high, compared to the low, socially anxious group showed vigilance towards angry faces and emotionally ambiguous faces more generally during rapid (100 ms) presentations. By 1,250 ms, there was only a non-specific motor slowing associated with angry faces in the high socially anxious group. Findings suggest the importance of considering both chronometric and energetic dimensions of affective stimuli when examining anxiety-related attention biases. Future studies should consider using designs that more closely replicate aspects of real-world interaction to study processing biases in socially anxious populations.
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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 | 0.008 |
| 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 | 0.000 |
| 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".