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Record W3125175927

Corporate Governance and the Responsibility of the Board of Directors for Strategic Financial Reporting

2008· article· en· W3125175927 on OpenAlexaff
James C. Gaa

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSecurities Regulation and Market Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCorporate governanceBusinessCorporationAccountingSecrecyTransparency (behavior)Public relationsContext (archaeology)Corporate communicationElement (criminal law)FinancePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

One of the fundamental principles of good corporate governance is transparency, i.e., the disclosure of private information to external stakeholders, so that they may make judgments and decisions relating to the corporation. Equally important, but less discussed, is the competing value that corporations need to protect legitimate secrets. Corporations thus need a communication strategy for dealing with external stakeholders which addresses the conflict between disclosure and secrecy. This article focuses on an important element of that communication strategy in the context of financial reporting: the possibility that corporate insiders may consider it in their interest, or in the interest of specific stakeholders, to alter or manipulate the financial information that it discloses publicly. Using concepts from the corporate governance and financial reporting literatures, it addresses the ethical question of who (management or the board of directors) should be responsible for making the fundamental strategic choices whether and (if so) how the corporation alters or manipulates the financial information. This article argues that the board of directors is responsible for formulating (and monitoring) the corporation's communication strategy, and that management is responsible for carrying it out.

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)0.036
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.064
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.015
Scholarly communication0.0130.005
Open science0.0010.003
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.245
Teacher spread0.212 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicSecurities Regulation and Market PracticesFrench-language works237,207