Acoso escolar, ciberbullying y su impacto socioafectivo y psicológico en los estudiantes de las instituciones educativas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The issue related to bullying in educational institutions is in vogue this problem has its origin through harassment or bromas ranging from a happy slapping or slap, ask the victim to do such or such favor asking for things, Money, gestures and actions of intimidation, these and other manifestations of harassment such as cyberbullying through the network and other expressions of violence impede the optimal development of students, interfere in the sense of group pertinence, their relationship of healthy and harmonious coexistence , Being one of the most important factors of the school desertion.This research aims to determine the predominant factors that affect harassment and how they generate far-reaching consequences in the lives of those who experience it, considering that Cotopaxi is no exception, since a high percentage of students recognized and accepted some type of harassment School or cyberbullyingin their school life, as well as the fear of denouncing by multiple sociocultural factors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it