MétaCan
Menu
Back to cohort
Record W4408161294 · doi:10.20998/2519-4461.2024.2.134

ВПЛИВ ГЛОБАЛІЗАЦІЙНИХ ПРОЦЕСІВ НА КОН’ЮНКТУРИ РИНКІВ ЄС ТА МІЖНАРОДНУ СТРАТЕГІЮ УКРАЇНИ

2024· article· en· W4408161294 on OpenAlexaboutno aff
Вікторія Черепанова, Петро Перерва, Olha Podrez, Oksana Utienkova, Dmytro Migulin

Bibliographic record

VenueBulletin of the National Technical University Kharkiv Polytechnic Institute (economic sciences) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Industrial Safety
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

The purpose of the article is to substantiate the impact of global transformations on changes in the conjuncture of global commodity markets and service markets, as well as on the formation of Ukraine's national strategy for functioning in foreign sales markets. To achieve the goal, the following tasks were set: to analyze the positive and negative factors of globalization on the economy and life of countries, including Ukraine; to determine the impact of globalization processes on the conditions of the commodity markets of the European Union and its features regarding stock exchange trading of natural gas; propose strategic measures to improve natural gas exchange trading in Ukraine. Globalization transformations have positive and negative consequences, but for the developed countries of the world they are more positive. For developing countries and countries with a transition economy, negative consequences can lead to the loss of state independence. Therefore, Ukraine's strategy for exiting and functioning on international markets, especially on the markets of the European Union, is aimed at covering the deficit of the country's balance of payments. In the process of transformation, transnational and multinational corporations, economic and political groups appear, new rules and requirements arise, i.e. a new economic situation regarding trade in commodities, including natural gas. In the European Union, natural gas is traded on the following exchanges: ICE/APX (London); APX/NP-Endex (Amsterdam); Powernext (Paris); EEX (Leipzig). A system of hubs has been introduced for natural gas trade in the European Union, and the price is determined based on the location of gas supply (hub), takes into account seasonality and is based on the use of futures contracts. Exchange trading gives participants the opportunity to control commodity prices and purchase a strategic resource (natural gas) ahead of time, meeting the needs of the country, corporations, and enterprises in advance. Studies have shown the feasibility of using exchange trading of natural gas through hubs, therefore it is proposed to build three hubs in Ukraine - Western (Lviv), East-Central (Kharkiv, Poltava) and Southern (Odesa). The international strategy of Ukraine in relation to natural gas should be based on the formation of a mixed supply of gas (these can be players of the national market, European markets, the markets of the USA, Canada, Australia, etc.) on the stock exchange to establish optimal prices for natural gas in within futures contracts.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.015

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 head0.022
GPT teacher head0.229
Teacher spread0.207 · 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 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the National Technical University Kharkiv Polytechnic Institute (economic sciences)Same topicEnvironmental and Industrial SafetyFrench-language works237,207