Label design, packaging, and the Canadian Millennial/Gen Z wine consumer
Bibliographic record
Abstract
The purpose of this study was to examine how Canadian Millennial/Gen Z wine consumers use packaging cues when purchasing wine. Focus groups (ages 19–33) were used to qualitatively evaluate package design preferences. A simulated shopping experience was combined with a series of led discussion questions and sorting exercises. The results showed that when considering wine packaging, Millennials/Gen Z show a preference for simple and modern packaging. They were more likely to experiment with products with non-traditional designs when consuming wine at home or casually with friends. They are concerned with value over quality and expect and perceive modern designs to be well-priced. When the aspirational nature of being a wine drinker and the importance of family and professional recommendations are combined, it was observed that traditional wine labels are still important in this market. Designs that appeal to this age group for personal/casual consumption are simple and streamlined. As this consumer group matures, observing and discussing the shopping behaviors of wine in real time can provide unique insights into their potential shift from traditional to more modern packaging design in the Canadian wine industry.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".