Social contexts and the occurrence of episodic heavy drinking
Bibliographic record
Abstract
Piontek, D., Kraus, L., & Rist F. (2013). Social contexts and the occurrence of episodic heavy drinking. International Journal of Alcohol and Drug Research, 2(2), 45-52. doi: 10.7895/ijadr.v2i2.106 (http://dx.doi.org/10.7895/ijadr.v2i2.106)Aims: This study aims to investigate the influence of social context variables on Episodic Heavy Drinking (EHD) among young adults. It will assess (a) whether EHD is predicted by characteristics of the specific drinking situation and drinking motives, and (b) whether the influence of drinking motives is moderated by public versus private drinking.Design/Setting: Data were collected by means of an online survey conducted at the University of Münster (Germany) in December 2008.Participants: The analytical sample consisted of 1,638 students.Instruments: Information was collected on socio-demographics, habitual drinking behavior (beverage-specific quantity and frequency within the past 30 days, EHD, drunkenness), and drinking motives (Drinking Motive Questionnaire Revised, DMQ-R). Moreover, participants described a recent drinking situation (beverage-specific quantity, drunkenness) as well as the social context related to this situation (time, place, people present, other substances used). Multivariate regression analyses were used to test the influence of context variables and their interaction with drinking motives.Findings: Drinking at a birthday or special party, during the weekend, or in a group where many people were drunk and playing drinking games increased the risk of EHD. Social and enhancement motives were associated with a higher risk for EHD, whereas conformity motives had a protective effect on heavy drinking. The effect of conformity motives was only present in public drinking situations.Conclusions: Drinking in young people is a social phenomenon related to situational influences as well as individual characteristics. In addition, there seems to be situational moderation of the impact of specific drinking motives.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".