School Bullying Behavior among Adolescents in Palestinian Public Schools from their Teachers’ Perspective
Bibliographic record
Abstract
The purpose of this study was to investigate the school bullying behavior among adolescents in public schools in the Qalqilya Governorate from the teachers’ perspective in the first semester of the academic year (2018-2019). The study sample consisted of (240) teachers from the whole study population, which comprised 1200 teachers from public schools in the Qalqilya Governorate. The researcher used the descriptive research approach. A Questionnaire was used to measure school bullying behaviors. The questionnaire consisted of (30) sentences, divided into three domains. Its consistency and reliability were verified. the results of the study. Results showed that there were no statistically significant differences at the significance level of (α ≤ 0.05) in the phenomenon of school bullying behavior among adolescents in public schools in the Qalqilya Governorate from the teachers’ perspective due to the variable of gender. There were no statistically significant differences at the significance level of (α ≤ 0.05) in the phenomenon of school bullying behavior among adolescents in public schools in the Qalqilya Governorate from the teachers’ perspective due to the variable of the school. The study recommended the need to focus on teacher, counselor and trainer professional development to deal effectively with students’ behavioral problems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".