Does Investor-State Dispute Settlement Discriminate Against Nationals?
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
Abstract This Article answers the question of whether investor-state dispute settlement (“ISDS”) discriminates against nationals by providing foreign investors with an extra avenue to challenge state measures. The complaint that ISDS is discriminatory as a matter of principle has surfaced before several European constitutional courts—including the German Federal Constitutional Court and the European Court of Justice—in connection with the ratification of the Comprehensive Economic and Trade Agreement between Canada and the European Union (“CETA”). This Article rejects this complaint. The Federal Constitutional Court was able to leave the question of discrimination open in the applications for a preliminary injunction to stop ratification. It will have to take a stand, however, in the principal proceedings. If the Court were to side with the applicants, it would sound the death knell not only for the CETA in its present form, but also for the multilateral investment court system promoted by the European Union and, in particular, Germany. The point made by the applicants in the CETA complaint is not only of importance in a European constitutional law context. Whether ISDS is per se discriminatory is a fundamental issue which requires answering before any reform steps in relation to ISDS are addressed.
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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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