The Relationship between Cyberbullying and School Bullying
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many children are likely to experience aggression in their relationships with schoolmates. With the advent of modern forms of communication, children are now able to harass their peers with mobile phones and e-mails, a behaviour known as cyberbullying. To determine the relationship between school bullying and cyberbullying, 432 students from grades 7–9 in Canadian schools were surveyed about their experiences of bullying. The results indicated that students who were bullied in cyberspace were also likely to bully their peers in cyberspace (r = 0.46, p < 0.001) and be bullied at school (56%). In addition, students who were bullied in cyberspace only, and students bullied both in cyberspace and at school, experienced difficulties at school such as low marks, poor concentration, and absenteeism. These results suggest that bullying that occurs either at or outside school can have an impact on school learning.
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.
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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it