Some Conceptual Tensions in Financial Reporting
Bibliographic record
Abstract
SYNOPSIS We examine four key conceptual tensions that are at the heart of many financial reporting dilemmas: stocks versus flows, ex ante versus ex post, conventions versus economic substance, and top-down design versus bottom-up evolution as sources of accounting practice. Associated with each of these conceptual dimensions is an accounting duality; in some cases, one side (e.g., stocks) is easier to measure in a reliable manner, while the other side (e.g., flows) is easier to measure in other instances. We suggest that financial reporting would benefit from a willingness to pay attention to, and find compromise between, both sides of these tensions; forcing a choice of one over the other does not serve to improve financial reporting. JEL Classification: M40.
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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 | 0.044 | 0.087 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.021 | 0.025 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.011 |
| 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".