Assessing Conformity with Generally Accepted Accounting Principles Using Expert Accounting Witness Evidence and the <i>Conceptual Framework</i>
Bibliographic record
Abstract
To enhance understanding of the status of the Financial Accounting Standards Board's Conceptual Framework for Financial Reporting, we analyse important rules of evidence in United States (US) courts regarding the presentation of expert accounting witness testimony. We draw on this analysis to recommend the relocation of the Conceptual Framework in the US Generally Accepted Accounting Principles (GAAP) hierarchy. For empirical support, we explore how rules of evidence in the criminal trial in 2006 of Enron's two most senior executives affected assessment of whether Enron's financial reports conformed with the FASB's GAAP. We recommend that the FASB's Conceptual Framework should be included in authoritative literature as the uppermost authority, and that it be grounded closely in user needs and the ethical principles associated with meeting those needs. Further, we recommend that accounting expert witnesses adopt an overriding concern for objectivity and impartiality in assisting courts to understand complex accounting matters within the Conceptual Framework.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.360 | 0.593 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.025 | 0.013 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.021 | 0.023 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".