693 Violent behavior and its relationship with other health risk behaviors among Romanian adolescents in the digital era
Bibliographic record
Abstract
Background The prevalence of different forms of peer violence among adolescents and the associated factors vary between different countries and regions and suffer variations during time. Objectives This study focuses on Romanian high school students and aims to assess the prevalence of different forms of interpersonal peer violence and self directed violence as well as their associations with different health risk behaviors. Methods A cross sectional study by means of anonymous questionnaires was performed in 2019 among 781 high-school students aged 15–19 from rural and urban areas situated in North-East Romania. Results Around one quarter of the high school students was a victim of a physical fight with a peer in the last three months, while 15% recognized they perpetrated physical fight among peers during the last 3 months. More than half of the participants declared that in the last 3 months they were aggressed verbally by peers at least once, while around one third of the participants said they have done so. In the same period of time one third of the high school students were excluded by peers at school and 43% excluded others. With regard to exposure to cyber-violence in the last 3 months, almost one third were victim of it and one out of 5 students were perpetrators of this form of violence. A percentage of 17% of the students declared that they had serious thought about suicide at least once during lifetime. There were several associations between different forms of violence as well as with other health risk behaviors such as tobacco and alcohol use and problematic use of social media. Conclusions Violence prevention and reduction efforts are needed for Romanian adolescents, including their integration in school based health education.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".