Tasting Place: Themes in Food and Beverage Product Logos from Three North Atlantic Island Regions
Bibliographic record
Abstract
Islands have long been romanticized for their potential to facilitate the kind of escape from globalization increasingly sought by neolocalism-driven consumers, and are thus uniquely positioned to emphasize their distinctive environment and culture through a holistic destination brand that targets both the tourism and local product markets. The current study examines the relationship between destination brands and local food and beverage brands in three North Atlantic island regions: Newfoundland, Iceland, and Shetland. Using a blend of content and thematic analysis to identify and analyze prominent themes employed in product logos, this study offers insight regarding food and beverage branding approaches in island contexts and their relationship to regional destination brands. Throughout the content examined for this study, island-based food and beverage producers demonstrated an intense and dynamic connection to place, as exemplified through the themes of place, culture, and environment embedded in their logos. Discussion of the study findings highlights the importance of strong logo branding for entrepreneurial success and regional tourism promotion, and advocates for future research and practical implementation of effective branding and logo design.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".