Judging others makes me forget: Assessing the cognitive, behavioural, and emotional consequences of other-evaluations on self-evaluations for social anxiety
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: People with Social Anxiety Disorder (SAD) evaluate themselves negatively before, during, and after anxiety-provoking social situations, which leads to negative consequences (e.g., performance deficits, memory impairments, and post-event processing). Despite decades of research, little is known regarding whether these evaluations generalize to how they view others. Social projection theory-the belief that others are similar to oneself-might further extend the basic Cognitive Behavioural Therapy (CBT) model. Our aim was to understand whether the degree to which people negatively evaluate a visibly anxious person causes them to negatively evaluate themselves. METHODS: 172 unselected participants completed several baseline questionnaires. We then randomly assigned participants to provide high-, medium-, or no-evaluation of a videotaped anxious person (i.e., other-evaluations) while we assessed their state anxiety. After, they evaluated the anxious person on multiple criteria. Participants then participated in an impromptu conversation task and subsequently evaluated their own performance. RESULTS: Although our manipulation was effective, we found no emotional or behavioural differences between conditions. However, people in the high-evaluation condition recalled significantly fewer facts about their conversation partner than did people in the medium- and no-evaluation conditions. LIMITATIONS: After data cleaning, the sample size was slightly smaller than planned; most analyses were nonetheless appropriately powered. Our findings may not generalize beyond unselected undergraduate students; replication in a clinical sample is warranted. CONCLUSIONS: These findings highlight the cognitive consequences (i.e., memory impairments) of other-evaluations, which cognitive behavioural therapists should consider when treating individuals with SAD.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".