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Record W4313187773 · doi:10.55365/1923.x2022.20.37

History, Theory and Prospects of Tourism Development in the Context of Globalisation: Financial Crisis Impact on Tourism Sector

2022· article· en· W4313187773 on OpenAlexvenueno aff
Victoria Tsypko, Nataliia V. Ivasyshyna, Volodymyr Vasylchuk, І. Datskiv, Vadym Orehowskyi

Bibliographic record

VenueReview of Economics and Finance · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsTourismGlobalizationContext (archaeology)Tourism geographyBusinessWorld economyEconomyEconomic growthEconomicsPolitical scienceMarket economyGeography

Abstract

fetched live from OpenAlex

In the context of globalisation, the development of tourism in Ukraine requires the restoration of tourism activities, integration with world leaders in the tourism sector, the use of global experience to meet consumer demand, information about existing opportunities of the tourism business, successes and benefits.Therefore, the issue of studying the history, theory, and prospects of tourism development is an urgent problem for the tourism industry.The purpose of the study is to investigate the history, theory, and prospects of tourism development in Ukraine and the world in the context of globalisation.In the process of writing the paper, general scientific methods of knowledge were used.The following methods were used: analysis and synthesis, classification and systematisation of data.In the course of the study, a model of the impact of tourism on the economy in the context of globalisation was presented.The number of citizens from different countries of the world who most often visited Ukraine is analysed.It was determined that the world is currently suffering from a financial crisis that has affected all sectors of the economy.However, the impact of crises in various spheres of economic activity in separate countries is different.As a result, experts' expectations regarding the prospects for the development of the tourism industry in Ukraine and abroad differ.The practical value of this study is conditioned by the fact that it provides information that can be useful both in a theoretical and practical sense for researchers and practitioners of the tourism sector.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.241
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes1
Has abstractyes

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