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Record W2901522718 · doi:10.6000/1929-7092.2018.07.75

Prospects for the Use of Private Sector Capital in the Development of High-Tech Industry

2018· article· en· W2901522718 on OpenAlexvenueno aff
Alexey V. Kemenov, Nikolay A. Okatyev, Vladimir K. Proskurin, Boris V. Proskurin

Bibliographic record

VenueJournal of Reviews on Global Economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsHigh techBusinessPrivate sectorPrivate capitalCapital (architecture)FinanceFinancial systemEconomicsEconomic growthProduction (economics)Political science

Abstract

fetched live from OpenAlex

Relevance : The solution to the problems of competitiveness of innovative technologies and products in global markets, accelerating the process of import substitution (if existing international economic sanctions by Russia) perhaps with the active using the capital of private business. This calls for the formation of certain financial and economic conditions of overcoming the barriers of innovative development of enterprises. The novelty of the present scientific research is in the following: the main vectors of transformation of innovative development of high-tech industrial enterprises, the necessity of wide use of capital of private business in the form of portfolio investments co-financed by the innovative projects. Practical usefulness. The increase in the share capital of private business in implementing innovative programs will reduce the financial burden on the federal budget. To increase the possibility of accelerating the processes of development of public-private partnerships and venture financing. Will expand the scope of use of the capital of private business in creating science-based dual-use products, implementation-oriented private commercial contracts in various sectors of the economy.  The future economic development of the country depends on the development and implementation of new technological researches that can make a certain breakthrough in providing technological and economic growth. The life cycle (LC) of any innovation embodied in specific correlation: Innovative idea → Conducting of fundamental research studies →R&D → Pilot production → Mass production → G radual elimination of aging equipment and technology with better analogues.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.116
GPT teacher head0.330
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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