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The digital economy of the region in the context of conditions to increase its competitiveness

2020· article· en· W3157128157 on OpenAlex
Dubnytskyi V.I., P. R

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

VenueEconomic Herald of SHEI USUCT · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetBusinessDigitizationGovernment (linguistics)Digital economyContext (archaeology)PopulationChinaDigital transformationInformation societyModernization theoryEconomic growthTelecommunicationsPolitical scienceEconomyEngineeringEconomicsGeographyComputer science

Abstract

fetched live from OpenAlex

The article identifies and substantiates the prerequisites and the need to implement the concept of digitalization of the regions of Ukraine. The difference of national programs and digitization strategies in different countries is considered, namely the programs: Concept of development of digital economy and society of Ukraine (Ukraine), Consortium of industrial Internet (USA), Society 5.0 (Japan), Industry 4.0 (Germany), Made in China – 2025 (China), Digital Technology Development Strategy (UK), Digital Economy Strategy of Canada is based on the economic plan of the government Advantage Canada (Canada) and reveals the main goal of digital development of national strategies for digitalization of the economy. The priority goals of digital transformation of Ukraine are considered, namely: increase of the level of digital literacy of the population; ensuring unimpeded access to high-speed Internet of all settlements and social institutions; introduction of the possibility of receiving electronic services via a smartphone; introduction of electronic document management; ensuring electronic interaction between national registers; introduction of open data by regional authorities; development of e-democracy tools. The factors that need to monitor and analyze the situation, identify and eliminate inconsistencies to increase the competitiveness of the company (development of information and communication technologies; development of scientific potential of employees of the organization; maintaining a favorable image of the company). The authors present summary statistics on the number of Internet subscribers by region as of 2019-2020. According to the above data, the presence of the so-called «digital divide», that is a noticeable difference between the regions, remains a problematic issue in Ukraine in practice. The priority directions of development of digital economy of regions of Ukraine are analyzed: stimulation of creation and development of the business focused on digital economy; additional regional support for small and medium-sized businesses in the field of digital technologies; formation and scaling of digital platforms for the main sectors of the economy; increasing the volume of training in the field of digital technologies; strengthening state support for the development of digital technologies in the field of health care in the regions.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.229
Teacher spread0.195 · 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