CAP Forum on E‐Business: Compromise or Customize: XBRL's Paradoxical Power
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Business reports are changing in response to regulatory and market demands. Requests by regulators for electronic filings of financial statements and tax forms are increasing and such filings are rapidly becoming mandatory in many countries. In response, extensible business reporting language (XBRL) is a market‐driven, collaborative effort to make electronic filings more useful to, and to reduce the burden on, both publishers and consumers of business reports. XBRL does much more than simply list data items that can be submitted in an electronic filing. XBRL is a complete set of tools for regulators or groups to fully communicate the meanings of and interrelationships among the business reporting concepts. In addition, core sets of concepts from regulators or groups can be extended, expanded, or otherwise modified for more specific communication by jurisdictions, industries, or individual corporations. This unique customization capability lets companies better present their electronic filings as parallels to their paper filings. A “customizable standard” offers new opportunities and new challenges. This paper discusses XBRL's paradoxical power ‐ the trade‐offs between customizing to better parallel existing paper reports and compromising to more closely match the standards, and the research needed for the transition from freeform to customized reports.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it