If you’re high status and you know it: Teasing apart the within- and between-person effects of peer- and self-reported status in the drinking group on alcohol-related outcomes.
Bibliographic record
Abstract
In this longitudinal study, we disentangled within- and between-persons effects in the relationship between university students' status in their drinking group and alcohol-related behavior. We further examined the role of self-perceived and peer-reported status, with the hypothesis that only when students' peers reported them as of a higher status, and they were aware of their high status (via self-report), would they experience increased heavy episodic drinking (HED). University students (N = 118; Mage = 19.40, SD = 1.49; 60.2% women) were recruited in their natural drinking groups (N = 27). All group members completed surveys at 3 time points during the school year, each 2 months apart. We fitted a taxonomy of multilevel growth curve models predicting students' self-reported HED and the extent to which they encouraged other group members to consume alcohol (peer-reported). Between-persons results demonstrated that students who reported higher status compared to their group members experienced more HED on average and students who were peer-reported as of a higher status relative to their group members played a more salient role in encouraging others to drink. Notably, and consistent with hypotheses, a within-person interaction revealed that at time points when students were higher in peer-reported status relative to their average, and they were aware of their increase in status (via self-reports), they also engaged in more HED. Results emphasize the importance of considering within-person effects and highlight the need for university alcohol-prevention programming to focus on students' status-related motives and concerns. (PsycINFO Database Record
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".