The Fault in Our Peers: Peer Victimization’s Association With Stress in Late Adolescence
Bibliographic record
Abstract
Negative social experiences like peer victimization can impact adolescents’ adjustment during the transition from high school to university (Jantzer & Cashel, 2017), leading to increased stress (Newman et al., 2005; 2011). This study’s aim was to investigate links between types of past peer victimization (i.e., physical, verbal, social, attacks on property, and cyber) and adolescents’ stress during the university transition. Participants were N = 488 undergraduate students aged 17 to 19 (M = 18.16, SD = .633). Participants completed self-report questionnaires measuring peer victimization (MPVS-R; Betts et al., 2015) and stress (PSS; Cohen et al., 1983). Hierarchical linear regression analyses revealed that verbal victimization has a unique relationship with stress when controlling for all other study variables (β = .239; p < .001) and that gender identity did not moderate the relationship between any type of past peer victimization and stress.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".