Is It Good to Be Bad? A Longitudinal Analysis of Adolescent Popularity Motivations as a Predictor of Engagement in Relational Aggression and Risk Behaviors
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
We examined the impact of adolescents’ popularity motivations on their involvement in relational aggression perpetration and victimization, heavy drinking, and antiauthority behavior, while also considering the role of teens’ perception of their own popularity and psychosocial adjustment. High school students ( N = 986; 50% female; M age = 14.98 years) completed a battery of self-report questionnaires survey in the fall and again, 6 months later. Regression analysis controlling for Time 1 scores confirmed that stronger motivations to achieve or maintain popularity predicted increases in relational aggression perpetration and victimization, and antiauthority behavior. Furthermore, self-reported popularity predicted increases in heavy drinking, but only when popularity motivations were high. Finally, more frequent heavy drinking predicted increases in self-reported popularity over time. Findings emphasize the potential value of addressing adolescents’ popularity motivations in attempts at reducing the aforementioned negative behaviors and associated risks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it