MétaCan
Menu
Back to cohort
Record W2807928686 · doi:10.5604/01.3001.0012.0377

Evaluation of information in the statements of profit or loss and other comprehensive income of WIG30 companies

2018· article· en· W2807928686 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZeszyty Teoretyczne Rachunkowości · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Theory and Financial Reporting
Canadian institutionsShared Services Canada
Fundersnot available
KeywordsComparabilityIncome statementAccountingGross profitProfit (economics)Financial statementFinancial statement analysisBusinessEarnings before interest and taxesIncome taxFinancial ratioActuarial scienceFinanceEconomicsBalance sheetPublic economicsAudit

Abstract

fetched live from OpenAlex

The aim of the article is to analyze and assess the comparability of the structure and content of statements of profit or loss and other comprehensive income of listed companies included in the WIG30 index (excluding financial institutions and foreign companies) and to propose some solutions to increase comparability. 21 financial statements for 2016 were analyzed. Two research methods were used: literature review and anal-ysis of the content of financial statements. All companies presented gross profit subtotal, which classified expenses by function in the statement of profit or loss and other comprehensive income (almost 75% of analyzed companies). However, some differences were observed in the calculation of that subtotal. The majority of the companies also presented other subtotals which are not required by IAS 1 – an operating profit subtotal and profit before tax subtotal. Generally all companies classified expenses by nature in the manner prescribed in the Polish Accounting Act. IASB should consider a requirement that companies pre-sent more additional subtotals in the statement of profit or loss and other comprehensive income, and should also prescribe the way of its calculation because many companies in the world (including Poland) present such subtotals. Moreover, in order to increase comparability of this statement, it might be advisable to introduce more detailed regulations concerning classification of expenses by nature and the place of presen-tation of the item Share of result of associates and joint ventures, because as some research indicates there are inconsistencies at the global scale. The findings of this research can be useful for the IASB work on changes in the structure and content of the statement of profit or loss and other comprehensive income to increase its comparability. Moreover, in Poland, previous research concerning the structure and content of the statement of profit or loss and other comprehensive income mainly focused on other comprehensive income rather than profit or loss.

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)0.004
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 score0.075
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.048
GPT teacher head0.326
Teacher spread0.278 · 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