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Record W1995602085 · doi:10.5539/ass.v10n24p50

Theoretical Aspects of the Assessment of Economic Entities Financial Condition

2014· article· en· W1995602085 on OpenAlexvenueno aff
Владимир Владимирович Глухов

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsValuation (finance)Variety (cybernetics)SolvencyAttractivenessDistribution (mathematics)EconomicsFinanceInvestment (military)BusinessActuarial scienceMarket liquidityPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The economic attractiveness of business entities for investors is an essential element in making decisions on the investment of financial resources into their development. An assessment of their financial condition plays an important role here, being an important characteristic of economic activity. The financial condition of economic entities is one of the most important indicators that reflect the productive capacity, distribution and use of own and borrowed financial resources, their adequacy and solvency. The issues of assessment of the financial condition of economic entities receive a lot of attention in the works of both domestic and foreign researchers, who offer a variety of valuation multiples, including various indicators, but the problem of multi-criteria selection has not yet been finally resolved. However, the financial condition of the economic entities as a scientific category is not considered by all academic economists, whose points of view and methods to its definition differ from their belonging to a relevant school of sciences.

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 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 score0.882
Threshold uncertainty score0.995

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 studies0.0010.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.299
Teacher spread0.290 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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