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Record W3202367081 · doi:10.19181/1999-9836-2018-10036

Concept of Anti-Recessionary regulation of the Social and Labor Relations of Insolvent Enterprises in the System of an Economy Clustering

2018· article· en· W3202367081 on OpenAlexaff
I. D. Matskulyak, Dmitry I. Matskulyak, Nemat Z.-O. Nagdaliyev

Bibliographic record

VenueLiving Standards of the Population in the Regions of Russia · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsYukon University
Fundersnot available
KeywordsInsolvencyBusinessFinancial crisisObject (grammar)Subject (documents)Function (biology)Market economyAccountingEconomyEconomicsFinance

Abstract

fetched live from OpenAlex

The Object of the Study. Insolvent (pre-crisis, crisis, post-crisis) enterprises in the industries of Russia and clusters in the conditions of their function.The Subject of the Study. The Social and Labour Relations (SLR) arising during the anti-recessionary regulation of the insolvent (unprofitable) enterprises of the industry.The Purpose of the Study. The article deals with the problems of forming the concept of anti-recessionary regulation of the SLR of insolvent enterprises in the system of an economy clustering.The Main Provisions of the Article. The relevance of a research is caused by the need to address the insolvency of the enterprises of the industry of Russia, their conclusion to an effective trajectory of development. The hypothesis of a research consists that the connection of financial economic opportunities of business, sciences, educations, the institutes and authorities joint in the corresponding cluster of a certain territory, including insolvent structures, allows to overcome their crisis state. Authors offer the concept of anti-recessionary regulation of the SLR of insolvent enterprises in the system of an economy clustering. The approaches offered in the article allow to present the structure of the concept, that comprises: the mission, goal, tasks, object, categories of occupied and employers, subject domains and results, their characteristics given. The attention is paid to the fact that for anti-recessionary regulation of the SLR, along with hired workers, considering the corresponding clusters, their governing bodies including at least a level of a municipal formation and also business owners and business executives – employers, assets owners and conditions of cluster production, calling to resist to crisis tendencies actively is very important. Basic provisions and conclusions of article could be used as a theoretical, methodological and practical basis and opposition, as well as anticipation to emerging the insolvent enterprises in the industry of the country. The formulated recommendations of transformation of the branch regulation into a territorial and branch regulation could be reference points for state policy on development of regional economy through the integration of crisis structures, research and educational organizations, high-tech productions, institutes of development and the state (municipal) power authorities. That will give a powerful impulse for modernizing the anti-recessionary reproduction and at the same time growth of competitiveness of the former insolvent enterprises in the conditions of their clustering in concrete regions.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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