Educators’ perceptions and observations of learner-on-learner violence and violence-related behaviour
Bibliographic record
Abstract
The aim of this article is to report on an investigation into Free State educators’ perceptions and observations of learner-on-learner violence and violence-related behaviour. The research instrument was an adapted version of Joshi and Kaschak's (1998, 213–215) standardised violence and trauma questionnaire. The first important result from the research was that Free State educators identified physical and verbal abuse as the two most common types of learner-on-learner violence. Secondly, it was found that nearly a quarter of the educators perceive that learners at their respective schools use drugs either daily or at least once a week. It was found that some Free State learners often come to school armed. The quantitative data shed some light on the link between gangsterism and school violence, the role of the police in curbing school violence, educators downplaying the serious nature of school violence, as well as the procuring effect of violent behaviour. Finally, some recommendations regarding school violence are given.
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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 | 0.003 | 0.010 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".