Factors Associated with Bullying Behavior in Islamic Private Schools, Pattani Province, Southern Thailand
Bibliographic record
Abstract
The purpose of this research was to investigate the associations between students’ bullying behaviors in Islamic private schools, Pattani province and classroom management factors (democracy, authoritarian, and permissive classroom management), family upbringing factors (strict, permissive, and democracy upbringing), environment violence factors (influence of peers violence, community violence, and parents violence), and to identify risk factors for bullying behaviors. A cross-sectional survey was conducted among 1,500 students were interviewed to collect relevant data by using a screening inventory for students at risk of exposure to bullying behavior in Islamic private schools (Laeheem & Sungkharat, 2012). Pearson Product-moment correlation test was used to analyze the associations between bullying outcome and various determinants linked to classroom management factors, family upbringing factors, and environment violence factors. Multiple linear regression analysis was used to identify risk factors for bullying. The study indicated that there were significant associations between bullying behavior and authoritarian classroom management, strict upbringing, influence of peers violence, and influence of parents violence. The influence of parents violence was clearly the most strongly associated predictors in explaining the students bullying behavior (Beta value= 2.26). The strict upbringing, authoritarian classroom management, and influence of peers violence were also made some contribution in explaining the variance in the students bullying behavior (Beta value= 1.93, 0.23, and -3.27), respectively.
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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 | 0.000 | 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 | 0.001 | 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) | 0.001 | 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".