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Record W7044567987

Оценочные индексы СНС 2008 в макроэкономическом анализе

2018· article· en· W7044567987 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic scientific archive of UrFU (Ural Federal University) · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegional Economic Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsMechanism (biology)Quarter (Canadian coin)Rational analysisEconomic analysisInformation technologyEconomic indicator
DOInot available

Abstract

fetched live from OpenAlex

The activities of various institutions that support entrepreneurs, is characterized by creation of conditions for the rational organization of labor and production, resource-saving, introduction of economic mechanism that contributes to the development of competition, finally, establishment of a direct relationship between the level of income and opportunities for workers social development. These conditions are recorded in the “road maps”, through the implementation of which a powerful information base is created. It allows to digitize financial assets and on this basis to transform the economic laws to the requirements of the new economy. The concretization of principles of the future economy and definition of institutional changes suggest, according to the authors, application of socio-economic indicators corresponding to the technological structure of the first quarter of XXI century. As an alternative approach of the new evaluation system, the use of indexes to characterize economic processes and social changes derived from them is proposed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.008

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 head0.177
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), 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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Same venueElectronic scientific archive of UrFU (Ural Federal University)Same topicRegional Economic Development and InnovationFrench-language works237,207