Buy For Yourself or Buy For Others? The Role of Label Images and Bottle Forms on Consumers' Perception of Icewine
Bibliographic record
Abstract
The primary objective of this research was to explore the icewine package design by conducting two experiments. In experiment 1, there was not congruity effect between label images and bottle forms for icewine. Additionally, in terms of natural label image, opaque Bordeaux bottle form was perceived to be more luxurious and more expensive than transparent Bordeaux bottle form for icewine; these results were only found for natural label image rather than delicate label images. Furthermore, opaque Bordeaux bottle form with maple leaf label image was found to be the optimal design for Canadian icewine. In experiment 2, there was no significant difference on consumers’ evaluations for congruent and moderately incongruent designs under the moderating effect of purchase context (i.e., buying for others and buying for self). The findings not only contribute to the icewine packaging literature but also contribute to Canadian icewine manufacturers, and the industry as a whole, with a competitive advantage.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".