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Record W4383218931 · doi:10.33920/med-17-2306-03

The change in the useful life of an intangible asset: prospectively, retrospectively or otherwise?

2023· article· en· W4383218931 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBuhuchet v zdravoohranenii (Accounting in Healthcare) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural and Financial Auditing
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingAsset (computer security)Intangible assetPerspective (graphical)AnalogyOrder (exchange)Quarter (Canadian coin)Accounting information systemBusinessActuarial scienceComputer scienceFinanceHistoryEpistemology

Abstract

fetched live from OpenAlex

Over the past more than a quarter of a century of active reform of Russian accounting in accordance with IFRS, half of this period there was no such thing as a “change in estimated values” in regulatory documents. In accordance with PBU 21/2008 “Changes in estimated values”, changes in estimated values are reflected in accounting and reporting prospectively. As practice shows, not only practitioners, but also some theorists do not always understand this perspective order unambiguously and correctly. In this article, the prospective procedure is considered by the example of changing the useful life of intangible assets. When conducting research, we used such methods as analysis and synthesis, comparison, grouping method, analogy method, logical approach, system approach. As a result of the conducted research, this article, in particular, presents various approaches to making changes to accounting and reporting in connection with the adoption of new accounting standards close to IFRS. In addition, in this paper, proposals are made to improve the accounting standard to reflect the consequences of changes in estimated values. The results of this study will be of interest to a wide range of readers studying various problems of modern Russian and foreign accounting and reporting, and can also be used in the educational process of higher educational institutions.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.293
Teacher spread0.230 · 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