Steadfast Students: How Resilience Buffers the Relationship Between Victimization and Negative Mental Health Outcomes
Bibliographic record
Abstract
Bullying, also known as victimization, affects 2 of 5 Canadian youths on a monthly basis (Statistics Canada, 2023), and has been associated with a variety of negative outcomes, such as the exacerbation of symptoms of depression and anxiety (Kasturiratna et al., 2024). Resilience, on the other hand, has been found to be a protective factor against the development of these negative outcomes across various contexts (Ji, 2024; Shahidi et al., 2024; Türk, 2024). Research is unclear regarding how resilience can act as a buffer against developing symptoms of depression and anxiety following bullying victimization in Canadian university students. It was hypothesized that resilience would moderate the relationship between past victimization and symptoms of depression and anxiety, such that higher resilience would be associated with fewer symptoms. Moderation analyses were conducted on a sample of 393 students with a mean age of 19.99 years. Results and implications for practice are discussed.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".