Beyond Territoriality: The Case of Transnational Human Rights Litigation
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
Cases for civil damages that have been brought before Western courts by victims of torture and persecution against states officials or corporations, challenge the principles of state sovereignty and jurisdictional competence. While national courts can in cases of serious crimes hear cases that grow out of acts committed in another country, the same is not true for cases for civil compensation. A persisting and rising number of private law cases that attempts to empower disenfranchised victims of crime and abuse, points to the necessity of reconsidering the prevailing procedural and substantial obstacles that govern the so-far unsuccessful civil law suits. The law of transnational civil litigation [TCL] emerged with the US American decision in Filartiga in 1980 and perhaps culminated in the US Supreme Court’s Decision in Sosa v. Alvarez-Machain in 2004. TCL has become a laboratory for our inquiry into the relationship between laws that were developed within and for the nation-state on the one hand and an increasingly globalized political and legal human rights discourse, on the other. As such, TCL is a case in point for the dramatically changing nature of norm-creation, law, and law enforcement in an era of globalization.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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