© Birkhäuser Verlag, Basel, 2009 Cross-national time trends in bullying behaviour 1994–2006: findings from Europe and North America
Bibliographic record
Abstract
Original article Objectives: To identify trends over 12 years in the prevalence of bullying and associated victimization among adolescents in North American and European countries. Methods: Cross-sectional self-report surveys were obtained from nationally representative samples of 11–15 year old school children in 21 countries in 1993/94 and in 27 countries in each of 1997/98, 2001/02 and 2005/06. Measures included involvement in bullying as either a perpetrator and/or victim. Results: Consistent decreases in the prevalence of bullying were reported between 1993/94 to 2005/06 in most countries. Geo-graphic patterns show consistent decreases in bullying in West-ern European countries and in most Eastern European countries. An increase or no change in prevalence was evident in almost all English speaking countries participating in the study (England, Scotland, Wales, Ireland and Canada, but not in the USA). Conclusion: Study findings demonstrated a significant de-crease in involvement in bullying behaviour in most participat-ing countries. This is encouraging news for policy-makers and practitioners working in the field of bullying prevention.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.187 | 0.113 |
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".