Cyberbullying among Normal and Attention Deficit Hyperactivity Disorder University Students (A Psychometric-Clinical Study)
Bibliographic record
Abstract
The present study aimed to investigate cyberbullying among normal and attention deficit hyperactivity disorder (ADHD) university students based on some variables. Its population comprised (1312) students at Saudi universities and disability centers and covered a sample of (148) normal and ADHD students encountering cyberbullying. Two clinical case studies were conducted. The study adopted the descriptive and analytical method, as well as the clinical approach. It utilized the cyberbullying scale, interview form, and Thematic Apperception Test. Results revealed the proliferation of some cyberbullying types among normal and ADHD university students. The cultural nature of the community affected the type of cyberbullying. Furthermore, there were differences in cyberbullying between normal and ADHD university students in favor of the ADHD students and between males and females, favoring the males. Such differences were caused by psychological and cultural variables .
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".