Developmental changes in the structure of shyness and internalizing symptoms from early to middle childhood: A network analysis
Bibliographic record
Abstract
Abstract Shyness is a temperamental trait that shares considerable conceptual overlap with aspects of internalizing problems, creating difficulties in operationalizing and assessing these two constructs and their association. This study addresses these issues by employing network analyses. Participants were, white, N = 555 children (M age = 52.45 months, SD = 15.96, 55% girls) followed longitudinally over 4 years (2016–2010) in Norway. Teachers rated child shyness and assessed children's internalizing symptoms. Results suggest that two behavioral shyness traits were the most central aspects of shyness. The centrality of these aspects was robust across age. The most influential symptom connecting internalizing symptoms with shyness was “unhappy.” Shyness became more differentiated with development, and associations between anxiety-related symptoms and shyness increased as children entered formal schooling.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".