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Record W4221049345 · doi:10.14207/ejsd.2022.v11n1p147

Marketing Activities of Extractive Industry Enterprises in Ukraine in Overcoming the Consequences of the Corona Crisis

2022· article· en· W4221049345 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Sustainable Development · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianBusinessConvergence (economics)AttractivenessEconomicsEconomic growth

Abstract

fetched live from OpenAlex

The study evaluated the state of international activities of extractive industry enterprises of Ukraine in the conditions of overcoming the consequences of corona crisis. The system of indicators to assess the effectiveness of their marketing activities in conditions caused by the pandemic coronavirus COVID-19 was developed. The evaluation system proposed in the study includes the analysis of indicators of production volume of the main types of extractive industry products, the dynamics of kaolin mining volumes in Ukraine and the dynamics of sales volumes of extractive industry products by Ukrainian enterprises on international markets. Also the structure of sales volumes of extractive industry products by Ukrainian enterprises on international markets was determined. An important stage of the proposed research methodology is the assessment of indicators of convergence of international markets in the conditions of overcoming the consequences of corona crisis. In the process of the study a comprehensive assessment of the convergence of Ukrainian enterprises of extractive industry in the conditions of overcoming the consequences of corona crisis was carried out. The approach is based on the application of ranks summation method for rating international markets by the system of dynamic indicators. The results of the study made it possible to determine the marketing attractiveness of markets of Belgium, Canada, Netherlands, Bangladesh, Hong Kong China, Pakistan for the activities of domestic enterprises of extractive industry at them, and assess their convergence. The last stage of the research was an expert assessment of convergence indicators of international markets in the conditions of overcoming the consequences of the coronocrisis. As a result of such assessment four international convergent markets were identified - Belgium, Canada, the Netherlands, Hong Kong, which demonstrate favorable conditions for doing business at them, and which indicates the existence of convergent conditions for domestic mining companies to sell the commodity group "2507 Kaolin and other kaolin clays" at the markets".

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)0.005
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 score0.075
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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