Jurisdictional Countermeasures Versus Extraterritoriality in International Law
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sovereignty is the reason why States seek to apply their jurisdictions. All States like to extend their jurisdictions as far as they can, so some of them have adopted extraterritorial policies in exercising their jurisdictions. In this manner the United States has approved several extraterritorial Laws in respect of competition law and sanctions, causing some coercion to non-target states. In response to this long-arm jurisdiction by the U.S., some countries, such as the U.K., Canada, Australia, Mexico etc., as well as the E.U., took actions of their own in order to nullify these extraterritorial laws. These measures, which are mostly applied to the jurisdictional field, could be described as jurisdictional countermeasures. They can be divided into prescriptive, adjudicative and executive measures, which include blocking statutes, claw-back statutes, non-recognition, procedural restrictions, non-execution and retaliatory measures. Not all of these measures are prohibited by international law and some can be viewed as a just retorsion against that State. However, where the application of these measures is prohibited by international law – in cases such as the non-recognition of foreign judgments and other jurisdictional regulations in international treaties like mutual judicial assistance agreements – they are countermeasures. If these actions are in response to an illegal extraterritorial law, they should comply with the conditions for countermeasures as cited in the Draft Articles on Responsibility of States for Internationally Wrongful Acts 2001 as approved by the International Law Commission.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it