The Accounting Entity, Relevance, and Faithful Representation: Linking Financial Statement Notes to the FASB and IASB Conceptual Frameworks
Bibliographic record
Abstract
ABSTRACT Although notes are an integral part of the financial statements, users lacking a technical accounting background often overlook them or consider them to be too difficult (Kieso et al. 2010). The authors observe that faculty generally devote little or no class time to the discussion or drafting of notes. Intermediate accounting textbooks relegate the presentation of notes to the end of the second intermediate accounting course. Nonetheless, notes are extremely important to financial statement users. In this case, students examine selected notes of the Consolidated Financial Statements of the Holy See (the financial entity associated with the Roman Catholic Papacy) for the year 2007. The Holy See's financial statement notes are ideal for discussion purposes, because students find “surprises.” Upon completion of the Discussion Questions, students have a new appreciation for financial statement notes, along with insights into how certain aspects of the FASB and IASB Conceptual Frameworks are linked to the notes. A case that attempted to include discussion of all the notes or the entire Conceptual Framework would become unwieldy. Therefore, in this case, we limit our focus to the accounting entity concept, relevance, and faithful representation. The case may be used with students enrolled in accounting courses from the principles level to the graduate level.
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 | 0.021 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".