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Record W4413831673 · doi:10.3897/jbgs.e157780

Advancing protected area management planning in Armenia: A case study of Sevan National Park

2025· article· en· W4413831673 on OpenAlexaboutno aff
Arsen Gasparyan, Astghik Danielyan, Aida Papikyan, Arman Kandaryan, Alla Aleksanyan, Areg S. Karapetyan

Bibliographic record

VenueJournal of the Bulgarian Geographical Society · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
FundersBundesministerium für Wirtschaftliche Zusammenarbeit und EntwicklungMinistry of EnvironmentEuropean Commission
KeywordsNational parkEnvironmental planningGeographyEnvironmental resource managementEnvironmental protectionArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

This article presents the case study of Sevan National Park to showcase the evolving conservation planning and management of protected areas in Armenia. We highlight the first application of the basic principles of the Open Standards for the Practice of Con-servation in the country, which has been piloted within the Park’s management planning process. We also address recent institutional reforms, including the establishment of the EcoPatrol service, to examine their implications for centralized protection. Further-more, efforts to align the management plan of Sevan National Park with the EU Biodiver-sity Strategy 2030, Kunming-Montreal Global Biodiversity Framework, and the feasibility of designating the area as a UNESCO Biosphere Reserve are discussed. Our findings demonstrate how Sevan National Park can serve as a potential model for adaptive con-servation planning across Armenia. Ultimately, the case of Sevan National Park provides valuable insights for countries aiming to bridge ecological conservation with inclusive and sustainable development.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Bulgarian Geographical SocietySame topicRangeland Management and Livestock EcologyFrench-language works237,207