Observed Shyness-Related Behavioral Responses to a Self-Presentation Speech Task: A Study Comparing Chinese and Canadian Children
Bibliographic record
Abstract
Past research suggests that expressions of shyness are associated with several distinct behaviors that may differ between Eastern and Western cultures. However, this evidence has largely been derived from subjective ratings, such self-, teacher-, and parent-report measures. In this study, we examined between-country differences on measures of directly observed shyness-related behaviors during a speech task in children. Participants were 74 Chinese (Mage = 4.76 years old, SDage = 0.62 years old; 77.0% male) and 189 Canadian (Mage = 4.80 years old, SDage = 0.82 years old; 48.1% male) children aged 4–6 years. As predicted, the results reveal that Chinese children exhibit a higher frequency of gaze aversion and lower total time speaking compared to Canadian children. Additionally, significant interactions between country and gender were found for fidgeting and smiling behaviors, indicating that cultural expectations and norms influence how boys and girls express some shyness-related behaviors in social situations. These preliminary findings extend prior cross-cultural research on shyness-related behaviors indexed using subjective report measures to directly observed measures, highlighting the importance of cultural context in shaping children’s responses to social evaluation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".