"SCHOOL ADJUSTMENT OF TEENAGERS: THE RELATIONSHIP BETWEEN BULLYING, VICTIMIZATION AND RESILIENCE FACTORS"
Bibliographic record
Abstract
Bullying and victimization are among the most worrying problems that can undermine school climate. Worldwide, studies show that between 6% and 45% of students are involved in those kinds of behaviours, depending on countries and methodologies In addition to reaching a significant proportion of students, studies list a variety of short-and long-term consequences related to school violence such as various psychological difficulties While school violence is widespread and devastating, some adolescents maintain positive adjustment throughout their schooling despite victimization. Resilience can take a variety of meanings, but it's mostly associated with the ability to maintain normal functioning despite adversity In this context, objectives of the study are: 1) to provide a global picture of bullying and victimization in high schools in Quebec (Canada); 2) to study the relationship between bullying, victimization, resilience factors and school adjustment. A total of 165 high school students completed a survey on bullying, victimization, resilience, and related topics. Results show that 23% of teenagers have adopted bullying behaviours in the past two months, while 31% reported being bullied. Furthermore, 44% of adolescents reported bullying behaviours at some point in their schooling and 61% reported being a victim. Hierarchical regression analysis shows that reported victimization and resilience factors account for 44% of the school adjustment variance, with resilience factors contributing more to the predictive model (26%) than reported victimization (18%). This study highlights the extent of violence in the school context and how resilience components can act as protective factors and maintain positive coping.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".