Examining the pathways between bully victimization, depression,academic achievement, and problematic drinking in adolescence.
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
In this article, we expand and test several theoretical models addressing the longitudinal relationships between bully victimization, depression, academic achievement, and problematic drinking from 3 approaches: Interpersonal risk model, symptom driven model, and a transactional model. Unfortunately, prior research has failed to consider these associations at the within-person level, which is arguably a more relevant level of analysis. Participants were 1,875 students sampled from four Midwestern middle schools and followed for 2 years. Baseline age ranged from 11-13 years with a racially diverse sample (44.3% African American, 29.2% White, 7% Hispanic, 3% Asian/Pacific Islander, and 16.5% Multi-Racial). The current study used an auto-regressive latent trajectory with structured residuals (ALT-SR) model to examine the within-person cross-lagged associations between bully victimization, depression, academic achievement, and problematic drinking. Results indicated support for an interpersonal risk model, where experiences of early bullying victimization resulted in a cascade of problems throughout middle school. Within this interpersonal risk model we also established that academic achievement was a key mechanism linking bully victimization to problematic drinking during adolescence We did not find evidence for a traditional symptom driven model (e.g., stemming from depression); however, we did find long-term problems stemming from early problematic drinking. Results are discussed in relation to prevention interventions for problematic drinking as well as screenings for early adolescent depression, bully victimization, and academic problems. (PsycINFO Database Record
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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