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Record W320734755

Quality, Origin and Globalization: Overall Justifications and National Frameworks: The Geographical Indication case./Qualite, Origine et Globalisation: Justifications Generales et Contextes Nationaux, le Cas Des Indications Geographiques

2006· article· en· W320734755 on OpenAlexvenueno aff
Bertil Sylvander, Gilles Allaire, Dominique Barjolle, Erik Thévenod‐Mottet, Andrea Marescotti, Angela Tregear

Bibliographic record

VenueCanadian Journal of Regional Science · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SustainabilityGlobalizationRegional scienceQuality (philosophy)Political scienceBusinessGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

Abstract This article is based on research undertaken in the context of the European project Dolphins (Development of Origin Labelled Products: Humanity, Innovation and Sustainability). This project (2000-2004) involved a European collaborative action, bringing together 15 research teams from 9 European countries (France, Italy, Switzerland, Germany, Spain, Portugal, the United Kingdom, Belgium and Finland). Its objectives were to: (i) better understand the characteristics and the evolution of Geographical Indications (GIs) in agri-food systems; (ii) provide tools to assess public policy concerning the markets for, and the development of, these products; and (iii) provide recommendations to the European Community in the context of WTO negotiations. The project work was structured around 7 themes: assessment of technical and regulatory aspects, the economic structure of the production chains, the impact on rural development, the relationships with consumers and citizens, a synthesis of the characteristics of Gis, the production systems of Gis, their corresponding markets and the public implications of these GI production systems, assessment of public policy, and a general synthesis and the formulation of recommendations. The work involved the identification of the production systems involved, an analysis of the literature on the question of products with their geographic origins identified and more generally on production chains of 'quality' products, and a comparative analysis of national rules and strategies (the bibliographic base is available on the web site: www.origin-food.org). The results have been published in six interim reports and a synthesis. This article is based upon the results of this project. Products the names of which make reference to their geographic origin are, first of all, recognized by the actors in the market place and by consumers, at least the connoisseurs. Historically, some of these products achieved broad recognition, which has raised for a long time (the 19920s onwards) the issue of the protection of Geographic Indications at the national and international levels. At the same time, the issue of the organization of producers and the protection of their collective reputation was also posed. France and other South European countries developed legislation very early on (the 1940s). The Common Market led the European Union to develop common legislation (regulation 2081/92). This coincided with the reform of the Common Agricultural Policy (CAP) of 1992 and the development of local initiatives in relation to this regulation; it came to be recognized as one of the objectives of rural development. This objective has been reiterated and reinforced via various programs (measures of accompaniment in 1994, agenda 2000, and the 2003 reform). If the development of these products has become a public objective, it is important to ask the question concerning what are the conditions for success for the development of their markets and the innovation processes based on constructing value for the specific resources involved. In August 2002 in the EU, there were 597 labels registered as AOP (Appelation d'Origine Protegee--Protected Label of Origin) and IGP (Indication d'Origine Protegee--Protected Geographic Indication); there were 696 in 2005 (405 AOP and 291 IGP) (in addition to the roughly 2,500 labels related to wine production). Italy and France are the countries with the greatest number, followed by Portugal and Spain. It should be noted that Greece, Germany and the United Kingdom, countries where this tradition had not been important, have been submitting more and more requests for approval of such labels. Placing the geographic origin on the name of products is first of all a commercial practice; in the first stages of marketing, the categorization of products by geographic origin is the approach most frequently met, in the absence of other certified characteristics. …

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.302
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2006
Admission routes1
Has abstractyes

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