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Record W7006748128

WORLD EXPERIENCE OF STATE-PRIVATE PARTNERSHIP IN THE INNOVATIVE ACTIVITY AND PRACTICE OF THE RUSSIAN FEDERATION AND THE REPUBLIC OF KAZAKHSTAN

2017· article· en· W7006748128 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipPublic–private partnershipThe RepublicContext (archaeology)Russian federationGlobalizationInvestment (military)Sustainable development
DOInot available

Abstract

fetched live from OpenAlex

This article describes the development of the country’s innovative potential and innovations, as well as the role of public-private partnership (PPP) in the field of innovative economic development as a factor of sustainable growth and competitiveness of the national economy in the context of globalization of economic relations. The authors provide an analytical review of the Law «On Public and Private Partnership» of the Republic of Kazakhstan and, in particular, regulation of innovation activity and analysis of innovation costs by sources of financing, as well as the experience of PPP in Kazakhstan and Russia. The paper also presents the international experience in the development of innovative economies in a number of countries such as Austria, Israel, Finland, Canada and others. The constraining factors of the development of cooperation in the sphere of public and private partnership are determined and recommendations are given on the use of its mechanisms in the development of innovative investment in the domestic economy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.163
GPT teacher head0.529
Teacher spread0.366 · 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 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
Published2017
Admission routes1
Has abstractyes

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