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Record W7063757911

The Activity of the State-Owned Enterprises in Ukraine

2018· article· en· W7063757911 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryQuarter (Canadian coin)Financial marketControl (management)Financial analysis
DOInot available

Abstract

fetched live from OpenAlex

The article is aimed at researching activities of the State-owned enterprises (SOEs) in Ukraine. For this end, an analysis of financial results of activity of the State-owned enterprises was carried out, along with an analysis and a comparison of groups of the SOEs according to recommendations on their future status within the framework of strategy of the Ministry of Economic Development and Trade of Ukraine. It is determined that more than a third of the State-owned enterprises recommended to shutdown are dominated by small-assets companies with the close to zero financial results. About a quarter of companies, among which relatively small enterprises are dominating, are subject to privatization. The exception is the State-owned banks, which are the largest actors in the financial market of the country. Almost all major State-owned enterprises are planned to be left in the public ownership. The financial result may not be the only criterion for whether a company be left in the public ownership. It is necessary to pay attention to whether the activity of a company has a social effect which is impossible or very difficult to achieve within the limits of private property. Research on this issue together with development of relevant recommendations are the topic of further study.

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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.134
GPT teacher head0.497
Teacher spread0.363 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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