Separating the Political and Technical: Accounting Standard‐Setting and Purification
Bibliographic record
Abstract
The U.S.‐based Financial Accounting Standards Board (FASB) emphasizes that accounting standard‐setting is not and should not be regarded as a “political process.” Employing the case of accounting for stock compensation, I examine a recent debate in which FASB appears to have successfully established and maintained a boundary between a technical accounting process and politics. This case is interesting because an earlier, failed effort to expense stock compensation was described as highly politicized. However, the boundary between technical and political processes was maintained in the more recent episode. I find that a focus on due process, characterizations of existing accounting requirements as anomalous and available measurement methods as reliable, and warnings about the dangers of injecting “politics” into standard‐setting were important to this boundary work. I also find that the boundary work required considerable interpretive flexibility in selecting (or ignoring) the evidence to be used in justifying the standard‐setting project and its conclusions. I conclude by suggesting that a different understanding of what it means to be involved in a “political process” might help all parties understand more fully what is taking place during the accounting standard‐setting process. Attention could be turned to developing processes to facilitate debates over which values should guide decisions occurring throughout the standard‐setting process. To this end, an enhanced standard‐setting process might allow for increased participation in agenda setting, in framing and scoping standard‐setting projects, and in providing opportunities for nonexperts to participate.
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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 | 0.127 | 0.228 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.012 | 0.092 |
| Scholarly communication | 0.031 | 0.033 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.018 |
| 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".