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Record W2301071085 · doi:10.5937/jaes12-7169

10.5937/jaes12-7169 = Modernization of model for initiation of investment projects as a factor of balanced maintenance of region’s investment-innovational activity

2014· article· en· W2301071085 on OpenAlexaboutno aff
Anatolievich Doroshenko, Miroslavovna Bukhonova, Vladimirovna Somina, Victorovich Manin

Bibliographic record

VenueIstrazivanja i projektovanja za privredu · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
FundersMinistry of Education and Science of the Russian Federation
KeywordsModernization theoryInvestment (military)PoliticsGlobalizationTourismQuality (philosophy)Economic growthEconomyBusinessEconomic geographyPolitical scienceRegional scienceGeographyEconomicsMarket economy

Abstract

fetched live from OpenAlex

In recent decades, because of globalization, development of social, information technologies and some other reasons cities and regions of the world have received the brand new possibilities of economic and cultural development. Barcelona and Sydney, Vancouver and Helsinki, separate parts of Zurich and Strasburg, alone with spread row of provincial and little-known towns and regions, took advantages of new opportunities and obtained a high-capacity inflow of investments and tourists, increase of business and local communities’ activity, new political weigh and cultural significance. As a result, at these territories, the quality of life increased, as much as integration degree of political, business, and cultural structures into national and international area, including investment. In Russia new possibilities were being explored by each territory according to its opportunities, within the programs of Russia’s regions innovational development. Nowadays, because of accumulated international and domestic experience, we can easily say, that the time has come to expand the limits by embracement of technological innovational activity by investment and social-cultural approaches to development and branding of territories.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.853
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.060
GPT teacher head0.269
Teacher spread0.209 · 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 designTheoretical or conceptual
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

Citations5
Published2014
Admission routes1
Has abstractyes

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