Financial Company Bankruptcies: Need to Further Consider Proposals' Impact on Systemic Risk
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Because the Bankruptcy Code (Code) does not specifically address issues of systemic risk, experts have proposed giving financial regulators a greater role in financial company bankruptcies. However, according to experts at a GAO roundtable, such proposals may have limited impact and raise certain implementation issues. For example, a proposal to require notification before bankruptcy depends on when (number of days) notification would be required and with whom (which regulators). Experts noted financial companies may not know that they will declare bankruptcy even a few days before the event and could have many regulators to notify. Experts also noted ways regulators already can compel financial companies to declare bankruptcy, and that changing the Code to allow regulators to place firms in bankruptcy involuntarily could temporarily place a firm in an uncertain legal status, eroding firms' values and endangering market stability. Other options, such as having regulatory standards forcing the firm into bankruptcy, could improve the likelihood of an orderly resolution, according to these experts. Although the proposals reflect the need to minimize systemic effects of financial company bankruptcies, the Financial Stability Oversight Council (FSOC)--charged with responding to threats to financial stability--has not considered changes to the Code. Consideration could improve FSOC's ability to address such threats in a timely and effective manner."
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 | 0.112 | 0.289 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.035 | 0.018 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.026 | 0.018 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".