Cyberbullying and its effects on young adolescents: a community-based survey
Bibliographic record
Abstract
OBJECTIVES: To conduct a study looking at the prevalence and nature of Internet and mobile phone use in young people, focusing particularly on cyberbullying and its potential effects on young people's mental health. METHOD: Three secondary schools in an area of North Dublin were randomly selected, which included one all boys school, one all girls school and one co-educational school. Written information about the study was given to each school principal and to parents/carers of all first and second year students. First and second year students in each school from whom consent had been received were asked to complete two questionnaires, which included a questionnaire on cyberbullying and a self-report version of the Strengths and Difficulties Questionnaire (SDQ). A total of 130 students completed the study. RESULTS: A total of 24 (18.46%) pupils were cyberbullied. Of these, 13 (65% of those cyberbullied) pupils who were cyberbullied said that it had a negative effect on their mood, and 9 (45% of those cyberbullied) said that cyberbullying had a negative effect on their overall mental health. A statistically significant higher proportion of pupils who were cyberbullied scored in the Abnormal/Borderline range of the SDQ, compared with those who were not cyberbullied. CONCLUSION: This is the first study in Ireland, which looks at the potential mental health difficulties associated with cyberbullying. It is hoped that the information from this study will help to increase awareness of the effects of cyberbullying and help look at ways of managing cyberbullying.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".