Cognitive Biases and the Link Between Shyness and Social Anxiety in Early Adolescence
Bibliographic record
Abstract
Shy children display wariness in unfamiliar social situations and often experience feelings of social anxiety. This study explored the potential mediating role of cognitive biases in the link between shyness and social anxiety in early adolescence. In particular, we focused on judgments of the probability and cost of negative social situations (i.e., judgment biases). Six hundred eighty-six early adolescents aged 10 to 14 years ([Formula: see text] = 11.58, SD = 1.13) completed measures of shyness, judgment biases, and social anxiety. Among the results, shyness, judgment biases, and social anxiety were positively interassociated. Shyness and judgment biases significantly predicted social anxiety. Moreover, elevated judgments of both the probability and cost of negative social situations partially mediated the relation between shyness and social anxiety. Results are discussed in terms of the conceptual pathway from shyness to social anxiety, as well as implications for intervention programs.
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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 | 0.005 |
| 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 | 0.001 |
| 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".