Is bullying and suicide a problem for East Asia's schools? Evidence from TIMSS and PISA
Bibliographic record
Abstract
Herein we examine the dominant image of East Asian schools as marked by a darker side of widespread bullying, leading to high rates of youth suicide. First outlining the substantial literature on bullying in the English language, we turn to show how – paradoxically – the rates of bullying and suicide are no higher, or in nearly all cases, lower than both Anglo-American systems (Australia, England, New Zealand, United States) and high PISA performers (Canada, Finland, Estonia). To explain this, we extend a constructivist approach proposed by sociologists of Japanese youth, suggesting that recurrent ‘moral panics’ such as bullying are determined, at least in part, by underlying differences in self-construal and views of how society functions. This analysis contributes to recent work that has challenged persistent stereotypes of East Asian education, those images blocking deeper engagement with the underlying differences in approach and philosophy these systems represent.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".