Extraterritoriality and Collective Redress
Bibliographic record
Abstract
PART I: COLLECTIVE REDRESS MECHANISMS IN A COMPARATIVE PERSPECTIVE 1. Class Actions and Collective Actions 2. Collective Redress Procedures: European Debates 3. Collective Action Reform in England and Wales 4. Class Actions and Class Settlements Going Global: An Update from the Netherlands 5. Collective Redress: Policy Objectives and Practical Problems PART II: PRIVATE INTERNATIONAL LAW AND COLLECTIVE REDRESS 6. A Coherent Approach to European Collective Redress: 7. The Trouble with Cross-Border Collective Redress: Issues and Difficulties 8. Cross-Border Collective Redress and Jurisdiction under Brussels I: A Mismatch 9. Parallel Litigation and Cross-Border Collective Actions under the Brussels I Framework: Lessons from Abroad 10. The Impact of the Brussels I Enforcement and Recognition Rules on Collective Actions 11. Conflicts of Laws in Multinational Collective Actions: a Judicial Nightmare? 12. Extra-territoriality of Evidence Gathering in US Class Action Proceedings 13. The ILA Rio Resolution on Transnational Group Actions 14. The Requirement for Foreign Class Members to Opt-in to an English Class Action PART III: RECEPTION OF FOREIGN COLLECTIVE REDRESS AND PUNITIVE DAMAGES DECISIONS IN NATIONAL JURISDICTIONS 15. Foreign Punitive Damages Decisions and Class Actions in Italy 16. Certifying International Class Actions in Canada 17. Collective Redress in Spain: Recognition and Enforcement of Class Action Judgments and Class Settlements PART IV: EXTRATERRITORIALITY AND US LAW 18. Morrison v. National Australia Bank: The US Supreme Court Limits Collective Redress for Securities Fraud 19. Morrison v. National Australia Bank : Implications for Global Securities Class Actions 20. Morrison v. National Australia Bank: Foreign Securities and the Jurisdiction to Prescribe 21. 'Bridging the Gap': Contrasting Effects of US Supreme Court Territorial Restraint on European Collective Claims 22. Transnational Issuer Liability after the Financial Crisis: Seeking a Coherent Choice of Law Standard
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".