Stability of Harassment in Children: Analysis of the Canadian National Longitudinal Survey of Children and Youth Data
Bibliographic record
Abstract
No longitudinal information about bullying and peer harassment among Canadian children currently exists. In the present study, the author examined the stability of bullying and harassment. The sample consisted of two cohorts of children aged 10-11 years (n=2798) and 12-13 years (n=1946) drawn from the Canadian National Longitudinal Survey of Children and Youth, which is a stratified random sample of households in Canada. The author analyzed children's reports of bullying and harassment from 1994 to 2001 using cross-sectional time-series analyses. The results show that children who were not bullied or harassed in one cycle were unlikely to report being bullied or harassed at a subsequent cycle. About half of children who reported being bullied or harassed in a previous cycle also reported being bullied or harassed in a subsequent cycle. The author concludes that some children may be resilient, whereas others are vulnerable to ongoing bullying and harassment from their peers.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".