Educando la competencia social para prevenir el maltrato escolar
Bibliographic record
Abstract
Se presenta una investigación realizada en Perú sobre el maltrato escolar. Aplicando un enfoque de investigación mixto, se evalúa un programa de prevención basado en la competencia social e interpersonal. El procedimiento, que incluyó un diseño cuasi-experimental, se desarrolló en dos fases: 1) análisis y detección de la situación de maltrato y 2) diseño, aplicación y evaluación del programa. Han participado 176 estudiantes de tres instituciones educativas de Chiclayo, Perú. Las técnicas de recogida de datos fueron cuestionarios, observación participante y fichas de evaluación. Los resultados indican que el programa contribuyó a potenciar aprendizajes enmarcados dentro de la competencia social. Tras la aplicación del programa, los estudiantes mejoraron en actitudes de convivencia con sus iguales, diálogo, expresión de sentimientos, comprensión y empatía con quien sufre; así como en amistad y solidaridad en situaciones de maltrato escolar, lo que pone de manifiesto la importancia de potenciar el aprendizaje de la competencia social.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".