Message on a bottle: the use of augmented reality as a form of disruptive rhetoric in wine marketing
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, a product steeped in tradition and history, is often challenging for consumers to decipher due to its intricate characteristics. Appealing to non-wine connoisseurs to break into untapped market segments requires both innovation and creative thinking. To accomplish this, three wine brands utilized augmented reality (AR) technology to craft unique brand storytelling experiences that centered around the label, without focusing on physical product attributes, ultimately resonating with new market segments. This article explores the use cases of three wine brands; 19 Crimes, Barefoot, and Enosophia Wines, that employed AR technology as a form of disruptive rhetoric, to supplement their wine label storytelling. The study sheds light on how multisensory technology such as AR can be used to carve out new wine target markets and proposes an AR experience model with accompanying propositions outlining how the experiential realms can be leveraged to achieve key brand objectives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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