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To the Question of the significance of the soviet Concession experience for Modern russia

2022· article· en· W4306392765 on OpenAlexaboutno aff
L. N. Ryabchikova

Bibliographic record

VenueHumanities and Social Sciences Bulletin of the Financial University · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorRelevance (law)SanctionsPolitical scienceInstitutionDialecticGeneral partnershipPower (physics)Field (mathematics)LegislationEconomyPublic administrationSociologyLawEconomicsEpistemology

Abstract

fetched live from OpenAlex

The article discusses the importance of the Soviet concession experience for the economy of modern Russia. The relevance of the study is determined by the complication of the socio-economic situation, which is directly related, in fact, to the sanctions war that the states of the so-called collective West (including the USA, Canada, Australia, etc.) have now declared to our country. The author, using historical and comparative methods, as well as content analysis and a dialectical approach, considers the existing points of view on this issue, showing the evolution of scientific views on the concession issues of the specified period. The purpose of the article is to substantiate the fundamental thesis, according to which, in the current realities of Russia, the experience in the field of concessions of the NEP period allows the Russian legislator, as well as representatives of the scientific and expert community, to creatively rethink the totality of the positive that was “acquired” at that time — for the purpose of creative reception for further improvement of the organizational, legal and economic components of the institution of public-private partnership (PPP) and, above all, in the form of concessions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.042
GPT teacher head0.278
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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