The WARN Study: Investigating University Student Perceptions of Alcohol Risk and Health Warning Labels
Bibliographic record
Abstract
Products that carry risk, including cigarettes, cannabis, and vaping products, require health warning labels on their packaging. Despite the established health hazards, health warnings are not required on alcohol products. The purpose of this study was to investigate the attitudes, beliefs, and perceptions that Canadian university students have about health risks from alcohol and health warnings. Using mixed methods, Canadian university students were recruited through social media to participate in an online survey (n= 331) and semi-structured interviews (n= 14). Survey results indicate that participants strongly support health warnings and believe that health warnings are valuable. Qualitative data were analyzed using reflexive thematic analysis. Results indicate that students perceive alcohol as less dangerous than other drugs, health warnings are valuable in informing them of risk, and there is an expectation of warnings surrounding dangerous substances. This research supports efforts to legislate health warning labels on alcoholic beverages sold in Canada.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".