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Record W4247681329 · doi:10.32843/infrastruct52-7

WORLD TRENDS AND UKRAINIAN REALITIES OF THE STARTUP MARKET

2021· article· en· W4247681329 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
KeywordsUkrainianInvestment (military)BusinessVenture capitalAttractivenessProductivityEntrepreneurshipDomestic marketMarket economyEconomic policyInternational tradeEconomic growthFinanceEconomicsPolitical science

Abstract

fetched live from OpenAlex

The article analyzes the trends of the global market of startups as an important factor in economic growth. The reasons for the leadership of the North American, European and Asian startup markets are outlined.Emphasis is placed on the most attractive areas of investment and technology, which according to expert estimates in the near future will be actively developed and bring significant profits, as well as have an impact on global processes of transformation of life and activities. Priority domestic industries are outlined: IT, which is constantly growing and in recent years brings significant profits, attracting the attention of the world's largest companies from the United States, Europe and Canada; agro-sphere, which, provided the involvement of startup projects has every chance to compete with developed countries in terms of productivity, complexity of approach and speed of development. The source of development of the domestic market of startups has been identified, which was the expansion and strengthening of the investment attractiveness of Ukrainian developments, which led to an increase in venture and private investment, which reached more than half a billion dollars. An analysis of the national market of startups, which shows recovery, especially in the technology sector due to the conclusion of a significant number of investment agreements, the interest of world leaders opening R&D centers, offices and domestic companies and foundations in Ukraine that actively support Ukrainian startups by investing millions of dollars. Based on the study of world experience in supporting innovative projects, the reasons that hinder the development of both domestic startups and priority industries for the country are outlined. The state initiatives on: launching the Startup Fund, which provides assistance to domestic entrepreneurs-innovators in the form of grants as a result of competitive selection; launch of the 360 Tech Ecosystem Overview platform by the Ministry of Digital Transformation to search for business information about IT companies, startups, investors and the entire technological ecosystem of Ukraine; development of draft laws for the development of the Ukrainian IT sector. Stimulating mechanisms have been identified that successfully work in the orientation of the economy to innovative development.

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: none
Teacher disagreement score0.747
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.000

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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