Incidence of Bullying in Sparsely Populated Regions: An Exploratory Study in Ávila and Zamora (Spain)
Bibliographic record
Abstract
In this work, quantitative research on the incidence of bullying attitudes present among primary and secondary school students in a Spanish area with a very low population density (the one formed by the provinces of Avila and Zamora) was carried out. The data were obtained from a standardized test designed to diagnose bullying (AVE test: Acoso y Violencia Escolar—Bullying and School Violence), which was administered to a sample of 129 students between 9 and 15 years of age in the area. The answers of the participants were statistically analyzed, using both descriptive and inferential techniques, to conclude the degree of presence of the different bullying factors analyzed by the AVE. As a result, it can be observed that almost a quarter of the participants present were at risk of being bullied, which means that the rate of bullying in sparsely populated areas is below the national average. In addition, there are strong gender gaps in terms of the typology and incidence of bullying, which shows that men and women have different behaviors in this regard.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".