Study of the Legal Regime of Oil and Gas Transit in Energy Charter Treaty and Law of Iran
Bibliographic record
Abstract
The present thesis has analyzed the legal regime of oil and gas transit in energy charter treaty and law of Iran by the use of descriptive analytic method. The research findings show that the law of transportation and the transit of foreign goods through the Islamic Republic of Iran’s territory passed in 1995 and its executive by law generally deals with the transit affairs although because of its general application it can be stated that it includes energy transit especially oil and gas. This law has referred to the energy transit in a limited way and therefore the lack of law in this respect is quite conspicuous. The transportation law of Iran which was ratified about 14 years ago and since it was codified for the needs of those days need to be revised in case Iran intends to join the charter because in several cases there is lack of law. But despite the legal vacuum there is no contrast between the aforementioned law and the contents of the charter treaty in terms of the oil and gas transit. In fact it can be stated that the law of transportation of Iran has no limitation in accepting the contents of the charter but only in some cases for the sake of clarification and preventing the creation of difference some new rules need to be ratified and some of the present rules need to be modified.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".