Marketing Activities of Extractive Industry Enterprises in Ukraine in Overcoming the Consequences of the Corona Crisis
Bibliographic record
Abstract
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".
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".