Les garanties contractuelles dans les transactions internationales comportant la fourniture de biens ou de services
Bibliographic record
Abstract
It is common knowledge that liberalizing international exchanges does not eliminate the risks involved in international trade. For indeed, parties to an international commercial transaction are often far distant from one another and naturally know little about their respective financial or industrial situations as well as the laws and customs in force in these countries. It is these circumstances that brought about various advance payment schemes such as the letters of credit. Yet world expansion of commerce that is largely due to hydro-electric projects and other projects linked together on a worldwide basis has given rise to contract guarantees. In this article the author deals with guarantees which mainly concern tender bond, performance bond, instalment reimbursement bond. By means of these guarantees, an importer may demand that a third party whose solvency is recognized will guarantee the economic bond of the exporter. The demand for supplying a contract guarantee may also be required by the international body that finances an economic project or by way of legislation in some countries. After having described the machinery of these guarantees, the author examines the legal nature and validity of them. He then analyses the legal relationship of parties to this institution. He concludes by considering different cases that may prevent the realisation of the guarantee.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.020 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".