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Record W3203587658 · doi:10.32843/infrastruct55-15

MINING AND METALLURGICAL COMPLEX OF UKRAINE: CURRENT TRENDS AND RESULTS

2021· article· en· W3203587658 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

VenueMarket Infrastructure · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPig ironQuarter (Canadian coin)MetallurgyBusinessChinaProduction (economics)Natural resource economicsAgricultural economicsGeographyEconomicsMaterials science

Abstract

fetched live from OpenAlex

The article analyzes the production and sales results of the enterprises of the mining and metallurgical complex of Ukraine (hereinafter MMC) in 2020, in the first quarter and for four months of 2021, as well as the preconditions that developed in 2019. It was determined that the results of production of MMC of Ukraine in 2019 were the worst for the entire period of the existence of independent Ukraine. The article analyzes the factors of ineffective work of metallurgical and mining enterprises in this period. In 2020, the situation was aggravated by the COVID-19 pandemic. Steel production declined, while pig iron and rolled products increased marginally compared to 2019. Exports of iron ore increased by almost a quarter, which means that the success of the ore segment partially offset the difficulties in the metallurgical sector. Success factors for the ore segment of the mining and metallurgical complex of Ukraine in 2020 were: rapid recovery of China after quarantine, effective measures to support the economy by China and European countries, high demand and prices for ore, rapid recovery of business activity and low level of stocks, which led to an increase in prices for metal products. It was determined that in the first quarter of 2021 the production of pig iron, rolled products, sinter increased compared to the same indicator in 2020, but the production of coke, steel and pipes decreased. The export of the main products of the mining and metallurgical complex has grown significantly. In April 2021, there was a drop in exports of iron ore and ferrous metals compared to March, but in general, for four months of 2021, the dynamics of exports is positive. The article examines positive trends (growth in prices for iron ore raw materials, demand and prices for steel and rolled products), as well as risks and threats that have arisen in the market and which will affect the efficiency of mining and metallurgical enterprises in 2021 and in the long term (a slowdown in the growth of the Ukrainian economy and countries-consumers of mining and metallurgical products, a high level of protectionism, insufficient protection of the domestic market from imports of metal products, the need for significant investments in improving the environmental friendliness of metallurgical production and increasing environmental costs.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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