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Record W7132037327

A Bıblıometrıc Analysıs of Geographıcally Indıcated Foods and Beverages ın Van

2025· article· en· W7132037327 on OpenAlexaboutno aff
Sedat Çelik, Lütfullah Sadi Toprak, EMRAH ÖZTÜRK

Bibliographic record

VenueVan Yüzüncü Yıl University Academic Data Management System · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsTourismSettlement (finance)State (computer science)Human settlementCapital (architecture)Shore
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION In the last half century, the rapid global development of tourism has been significantly influenced by factors such as infrastructure improvement, increased individual wealth, and regulations enhancing employee leave rights. In this regard, tourism activities in Turkey have shown remarkable progress since the 1980s, driven by improvements in both infrastructure and superstructure, accelerating sectoral developments. Despite this rapid development, Van province, which had not received its deserved share until recently, has attracted attention with rising tourism statistics in recent years.Van is a rich destination with natural, historical, and cultural tourist attractions. Its favorable climate along the lake shore and its location on important transit routes have made it a settlement area since ancient times, hosting numerous civilizations dating back to around 4000 BC. Throughout its history, Van has been home to significant civilizations such as the Byzantines, Seljuks, Ilkhanids, Hurrians, Urartians, Medes, Persians, Parthians, Sasanians, Kara Koyunlu, Ak Koyunlu, Safavids, and Ottomans. Particularly notable is its long-standing role as the capital of the Urartian civilization. Geographically, Van province is strategically positioned at the crossroads of major routes. Van province is bordered to the north by Ağrı province and its districts of Doğubayazıt, Diyadin, and Hamur; to the west by Ağrı province's Patnos district, and Bitlis' Adilcevaz, Tatvan, and Hizan districts along with Lake Van; to the south by Siirt's Pervari district, Hakkâri province, and Beytüşşebap and Yüksekova districts; and to the east by the state of Iran ((Turizm Sektör Raporu, 2024; Van’ın Tarihi ve Tarihçesi, 2024; Şenol, 2016: 279-280). Van, holds significant potential in terms of history, nature, culture, and winter tourism in Eastern Anatolia Region. In recent years, the increase in alternative tourism opportunities has brought various types of tourism to the forefront. These include eco-tourism (such as Keşiş Lake, Yalınca, and Norduz Plateau), winter tourism (Abalı Ski Resort), bird watching tourism (notably Erçek Lake with its flamingos, Karasu Delta, Çarpanak and Adır Islands), hunting tourism (Mermit, Köprüler Village bird hunting, Erek and Artos Mountains), mountaineering 315 tourism (climbing Artos, Süphan, Erek, and Nemrut Mountains, paragliding), underwater diving tourism (Akdamar, Adır and Reşadiye Bays), rafting tourism (Bahçesaray District), health tourism (Erciş Doğancı Thermal Spring, Çatak Şeyh Cürüh Thermal Spring, Başkale, Kelegom Thermal Spring), and gastronomy tourism (such as Tandırda Van İnci Kefali, Van Ayran Aşı, Van Breakfast, Van Herb Cheese, etc.) (Genel Bilgiler, 2024; Duman, 2016: 403). Particularly noteworthy is Van Breakfast, Herb Cheese, the endemic species Pearl Mullet, and the orange-fleshed melon, which make Van a unique and colorful corner of Anatolia, especially in terms of gastronomy tourism. Therefore, Van province, situated along the shores of Lake Van, is a rich destination due to its natural beauty, historical and touristic sites, and its diverse gastronomic products (Turizm Sektör Raporu, 2024; Van’ın Tarihi ve Tarihçesi, 2024; Şenol, 2016: 279-280). Geographical indications have a historical lineage dating back to 17th century France. They are signs that indicate a product's association with a specific region, area, or locality renowned for its distinct quality or reputation. Products possessing unique characteristics or qualities attributable to their geographical origin can be registered as geographical indications. Unlike origin labels such as "Produced in Turkey," the primary purpose of a geographical indication is not merely to indicate where a product was grown or made, but to highlight a specific characteristic or reputation derived from its origin. The message conveyed to consumers through geographical indications emphasizes the product's distinctive qualities or reputation rooted in its geographical origin. These characteristics may include sensory attributes like taste, shape, color, texture, as well as emotional triggers such as nostalgia stemming from the product's history, culture, or tradition (Bilgiç, Tatari ve Ezgi, 2019: 6). There are fundamentally two different approaches to geographical indications (GIs) worldwide. The first approach, as seen in Turkey, involves protecting products through sui generis regulations (France, Italy, Spain, etc.). The second approach involves protection under the trademark law system (United States, Canada, Chile, etc.) (TPMK, 2024). Apart from EU countries, nations such as Bosnia and Herzegovina, Algeria, Haiti, India, Iran, Israel, Montenegro, Korea, Costa Rica, Cuba, Mexico, the Republic of Moldova, Nicaragua, Pakistan, Peru, Serbia, Slovakia, and Tunisia are among the countries that implement geographical indications. In other words, the GI system functions within different legal frameworks and practices in each country (Dokuzlu, 2016: 27; Denk and Sanalan Bilici, 2022). It is crucial to protect these products, which can be described as local, regional, or traditional, to ensure they maintain their distinct characteristics, cultural, and geographical origins, and do not lose their authenticity (Onurlubaş and Taşdan, 2017: 116; Denk and Sanalan Bilici, 2022). Consequently, as the value of such products, perceived as natural, unique, and authentic, becomes more appreciated globally, there is a trend towards protecting them through the GI registration system (Kargiglioğlu, Çetin, and Bayram, 2019: 627; Denk and Sanalan Bilici, 2022). Thus, not only food or cuisine but also cultural heritage is safeguarded through this method (Denk and Sanalan Bilici, 2022). Van, a destination that has gained attention in recent years with its alternative tourism types, boasts a variety of unique local food products. With its registered or yet-to-be-registered products, Van stands out in both Eastern Anatolia and Turkey for its diverse food and beverage offerings. Home to various religions, cultures, and civilizations for centuries, Van holds a significant position in gastronomy tourism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.023
GPT teacher head0.221
Teacher spread0.198 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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