Bibliographic record
Abstract
Sovereign risk is the likelihood that sovereign debt issuers will default. The debt/ GDP ratio of a country is a popular but partial indicator for such a likelihood. When a state defaults because of a shortage of foreign reserves, it may forbid its private sector borrowers from remitting foreign exchange to their international lenders. For that reason, private sector international loans are always under the shadow of sovereign risk. The decision to default depends not only on the financial “ability” of the state but also the “willingness” to pay. Thus, sovereign default is both an economic and a political decision. Sovereign default was prevalent throughout history in industrialized as well as developing countries. Among the G7 countries, only the United States, the United Kingdom, and Canada have no history of default. The three international rating agencies Moody, Standard and Poor, and Fitch provide sovereign credit rating but their track records are far from perfect. Other ways to evaluate sovereign risk include statistical modeling and market‐based measurements such as sovereign credit‐default swaps ( CDS ) and the price of debt at the secondary sovereign debt markets.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".