A Comparative Study of Concept and Bases of Frustration of Purpose Doctrine in Iranian and English Law
Bibliographic record
Abstract
After the conclusion of contract its parties are obliged to perform their contract. If one of the contract parties does not enforce it by some reasons, the other party has the right to bind him to perform the contract. In some cases the non-performance of obligation is not based to the denial of obligator. In English Law, an idea under the title of discharge by frustration has been devoted to this issue and other reasons have been enumerated for it. In this between, Sometimes without the performance of contract is unenforceable, the conditions come into existence which the parties purpose of conclusion of contract are affected and the performance of contract for one or two parties become useless. In this case, the performance of contract is not encountered physically and legally with problem, but the parties intention of conclusion of contract is not within reach anymore. This issue has been set forth for discussion under the title of frustration of purpose and it is a part of the theory of discharge by frustration. In Iranian law, such a theory has not been recognized, but considering some articles of the Civil Code including articles 480,527,551 which seem the bases of this theory are rooted in them, one could believe in this theory in Iranian Law. In this article we intended with the use of reliable sources to have a deliberation in the concept and bases of frustration of purpose doctrine in Iranian and English law.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".