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Record W2883281884 · doi:10.26565/2076-1333-2018-24-07

Transformation of tourism of the Eastern Ukraine in the context of a conflict

2018· article· en· W2883281884 on OpenAlex
Halyna Zavarika

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Geography Journal · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsSNC-Lavalin (Canada)
Fundersnot available
KeywordsTourismTransformation (genetics)Context (archaeology)Conflict transformationPolitical scienceGeographySociologyPolitical economyLawArchaeology

Abstract

fetched live from OpenAlex

The impact of conflict on tourism has been analized in the paper. The purpose of the work is to identify the transformational changes in the state of tourism in the east of Ukraine as a result of the conflict. Analytical, deductive, statistical, systemic, comparative-geographic methods of research have been used to analyze the main indicators of tourism development. It has been proved that all types of tourism suffer from the conflict, and the total number of tourists was significantly reduced. The conflict has once set a promising direction for the economic development of the eastern regions of Ukraine on the brink of total disappearance. The necessity of studying the experience of eliminating the negative consequences of conflicts on the development of the tourism industry and developing a strategy for its further development in the Donetsk and Luhansk regions has been established. For the first time a comprehensive analysis of the status of Donbass tourism in different periods has been conducted, namely: on the eve of the conflict and during the conflict, which showed that staying Ukraine in a state of a conflict led to the emergence of new social and geographical peculiarities of tourism development in the east of Ukraine. It has been revealed that the conflict leads to instability in the development of tourism, tourists worrying about their safety refuse to visit a country or region. This inevitably leads to a decrease in the number of international tourist arrivals and revenues from tourism, a decrease in the number of tourist objects and collective accommodation facilities. It has been determined that the tourist attractiveness and image of the eastern region was almost lost as a result of the conflict. The main provisions, the actual material and conclusions of the article can be used for further research on the development of tourism in the Donbas and the creation of a concept for overcoming the negative consequences of the conflict in the period of 2014-2018 in Ukraine for the development of the national tourism industry.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
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
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.276
Teacher spread0.248 · 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