Characterizing Misbehaviour among Jordanian High School Students
Bibliographic record
Abstract
The main purpose of this paper is to investigate the level of student misbehaviour and to explore the types of student misbehaviour among Jordanian high school students in the Governorate of Jarash. This paper presents the findings of a survey conducted to identify the level and type of misbehaviour. It emphasizes the important role school plays in reinforcing positive societal norms and values in teenagers with the ultimate aim to produce well-adjusted young adults. The findings support the idea that factors such as gender and grade level affect the type and level of misbehaviour exhibited by Jordanian high school students. The results of this study also revealed that the majority of the respondents showed a low level of misbehaviour. The most frequent types of misbehaviour found among Jordanian high schools students were disobedience, classroom disruption and vandalizing school property. Student misbehaviour differs significantly according to the students’ gender, grade level and the type of school they attend.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".