Between Tradition and Sustainable Innovation: Empirical Evidence for the Role of Geographical Indications
Bibliographic record
Abstract
The role of innovation without disrupting tradition is gaining importance within GI research. Next to maintaining competitiveness within niche markets, the topic of sustainability is put into focus by different GI stakeholders. This paper aims to shed light on the combination of tradition and innovation and their effects on long-term sustainability. A new framework was developed combining the concept of a GI entrepreneur, the TISyn model, and the Triple-Bottom line. It can be used for holistic research of GI agricultural productions while focusing not only on economic factors but also on social and environmental ones. Three protected designations of origin (PDO) products were researched as case studies using the framework: Stromberger Pflaume (Germany), Carciofo Spinoso di Sardegna (Italy), and Vlaams Brabantse tafeldruif (Belgium). The selection of these cases was based on a qualitative content analysis of GI documents, with the possibility of comparing different national and institutional contexts, while using products belonging to the same product class (fruits and vegetables). Furthermore, the selection was refined by the available empirical material and the willingness and ability of GI stakeholders to engage in topics investigated here. The comparative case study approach allows us to qualitatively assess differences between the dimensions of sustainability within different contexts. Thus, it will help build a new theory around the synergy of tradition and innovation within the GI scheme. The results can support new GI policy designs and their implementation, which may benefit all the GI stakeholders in the long-run.
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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 | 0.017 | 0.089 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".