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Record W4254843423 · doi:10.1504/gber.2017.082591

Determinants of information disclosure by companies listed on the Warsaw Stock Exchange in Poland

2017· article· en· W4254843423 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.

fundA Canadian funder is recorded on the work.
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

VenueGlobal Business and Economics Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Theory and Financial Reporting
Canadian institutionsnot available
FundersCanadian Institute for Advanced Research
KeywordsAccountingBusinessStock exchangeShareholderAuditCapital marketAccounting information systemContext (archaeology)Scope (computer science)Information asymmetryFinanceCorporate governance

Abstract

fetched live from OpenAlex

The paper aims to identify the determinants of information disclosure in financial reports of 227 public companies listed on the Warsaw Stock Exchange in Poland in the years 2010-2013. Understanding what influences the scope of disclosure by listed companies is important in the context of minimising information asymmetry on the capital markets and reporting standards harmonisation. I conducted a panel study with the self calculated CIFAR Index and its part concerning the disclosure of information to shareholders and the accounting policy. The findings confirmed that larger companies disclose more information in their financial reports and on the website. Audit conducted by a firm from the 'big four' is positively, while free float negatively, correlated with information disclosure to stockholders. The extent of disclosure increases with external financing. However, applying for a bank loan reduces the disclosure to shareholders, while increases disclosures in total and in scope of the accounting policy.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.394
Threshold uncertainty score0.376

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 studies0.0000.000
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 head0.023
GPT teacher head0.249
Teacher spread0.226 · 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