Anxiety in the Classroom: Only Girls’ Anxiety Is Related to Same-Sex Peers’ Anxiety
Bibliographic record
Abstract
Many teens report experiencing anxiety in school, which can negatively impact their well-being. Considering that adolescents tend to adopt the same behaviors as their classmates with whom they spend, on average, 923 h every year, the current exploratory study (1) assessed whether an association exists between a student’s state anxiety score and his/her classmates’ average trait anxiety scores and (2) examined whether this association differed between boys and girls, as well as between elementary school and high school students. During two consecutive school years, 1044 Canadian students (59% girls) from six elementary schools (aged 10−12) and seven high schools (aged 15−17) completed the State-Trait Anxiety Inventory for Children. Multilevel analyses revealed a same-sex peer effect of classmates’ anxiety in girls only (β = 0.40, p < 0.001). This effect was similar for elementary and high school girls (β = 0.07, p = 0.27). Interestingly, no association was found for boys, same-sex peers (β = 0.11, p = 0.25), or opposite-sex peers (β = −0.01, p = 1.00). Our results suggest that factors related to sex may reinforce anxiety in school settings. Future studies should confirm these results and explore the mechanisms involved in this sex-specific difference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".