An Experimental Study on Imitation of Alcohol Consumption in Same-Sex Dyads
Bibliographic record
Abstract
AIM: In order to study the role of imitation in relation to drinking, alcohol consumption among two peers was examined with experiments in a naturalistic drinking setting. METHOD: In a bar lab, 135 young adults (52% women) were exposed to either a non-drinking, a light-drinking or a heavy-drinking same-sex model (i.e. a confederate) in a 30-min time-out session. Instead of using a taste task (Quigley and Collins, 1999. The modeling of alcohol consumption: a meta-analytic review. J Stud Alcohol 60:90-8) in which participants were obliged to consume alcohol, in the current study, a design was used in which participants were allowed to drink alcohol but could also choose non-alcoholic beverages. RESULTS: Craving for alcohol was included as a covariate in ANCOVAs. Results showed that the participants consumed substantially more alcohol when exposed to heavy-drinking models compared to light- and non-drinking models. Craving levels were positively related to alcohol consumption during the experiment. CONCLUSION: Both men and women imitated same-sex peers' drinking behavior in an ad lib naturalistic bar setting.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".