Causes of Students’ Violence at AL-Hussein Bin Talal University
Bibliographic record
Abstract
This study aimed at identifying the causes of students’ violence from the student’s point of view, and also aimed at investigating the proper solutions to reduce the spread of violence at AL- Hussein Bin Talal University. The study sample consisted of (906) male and female students from Al-Hussein Bin Talal University, who have enrolled the summer semester during the academic year (2011/2012). The sample was selected randomly from faculties of Arts, Science, Information Technology, Education, Engineering, Tourism Archaeology, Business Administration & Economics and Faculty of Nursing. Respondents -both males and females- belong to different academic years: first, second, third and fourth year. In order to invistigate the most significant reasons of violence, information were gathered through a questionnaire of a five point scale for the measurement of the scale, and the results had showed that the major causes of violence as reported by the respondents were tribal fanaticism, nepotism, tribal effects on the society, not respecting students and improper treatment, psychological stress and disorders, weakness of the religious restrain and bad investment of free time.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".