The Importance of Informational Components of Sparkling Wine Labels Varies with Key Consumer Characteristics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wine label information is an important aid for consumers in making purchase decisions. However, the influence of label information types in the context of sparkling wines is poorly understood, despite the global growth of this product class. Using an online survey of 576 Ontario sparkling wine consumers, we sought to examine this knowledge gap using two complementary approaches. First, participants were presented with a set of two mock sparkling wine labels, selected at random, from a set of eight conditions. One condition (control) contained all seven of the information types previously identified (endorsements, parentage, attributes, target end use, target end user, manufacture, nonpareil), whereas the other seven omitted one of each of these elements. Respondents then rated their willingness to buy, willingness to pay, and the perception of quality. Lastly, they self-rated the importance placed on 14 different label information statements when purchasing sparkling wine (5-point Likert scale from 1–not at all important to 5–extremely important). Results show that including a description of the wine’s sensory attributes on sparkling wine labels is important to consumers overall, except for those with a high subjective knowledge of sparkling wine, and those who normally spend more than CAD 30 per bottle, as these groups are more willing to buy, willing to pay, and rate their perception of quality higher for labels that do not include attribute information. Grape variety/blend and production region information are rated high in importance. Alcohol content is more important to young consumers and those who prefer Prosecco-style sparkling wines, whereas vintage/year is more important to consumers who prefer Champagne-style sparkling wines. Expert endorsements are rated low in importance, and younger consumers are more willing to buy sparkling wine with the endorsement information removed. We conclude that sparkling wine label information content should be optimised for different market segments and consumer characteristics. This study provides important insights that can guide sparkling wine marketers and retailers in this process.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it