Prêts syndiqués en DTS : Une comparaison entre deux facilités bancaires
Bibliographic record
Abstract
Five of the most important currencies compose the SDR, the currency cocktail which is. at the base of the International Monetary System. Violent swings on the foreign exchange markets and greatest uncertainty of interest rates plead for a more frequent use of currency cocktails international operators. Both the Ecu and the SDR should have been more present in international finance. This article presents and analyses two international transactions in which the SDR was selected as unit of account: the first one is a syndicated loan to the Kingdom of Sweden and the second one a syndicated loan to the Republic of the Ivory Coast. A comparison of the two credits is presented and their differences are exposed. The author concludes that the SDR could be, in practice, very different from a private transaction to the next. Additional clauses are required when a currency cocktail is selected for a euro-credit : the definition of the SDR, the definition of the dollar-value of the SDR, the difficulty of the calculation of the interest rates, the problems of foreign exchange quotations make additional clauses necessary. As a consequence, the documentation of a SDR credit is more complex than in the case of a classic US dollar facility.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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; 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".