Handbook on the Law of Cultural Heritage and International Trade
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
Contents: Cultural Heritage Law James A.R. Nafziger and Robert Kirkwood Paterson 1. International Trade in Cultural Material James A.R. Nafziger and Robert Kirkwood Paterson 2. Australia Craig Forrest 3. Canada Robert Kirkwood Paterson 4. China James Ding 5. France Marie Cornu 6. Germany Kurt Siehr 7. Greece Elina N. Moustaira 8. Ireland Patricia Conlan 9. Israel Talia Einhorn 10. Italy Manlio Frigo 11. Japan Shigeru Kozai and Toshiyuki Kono 12. Mexico Ernesto Becerril 13. New Zealand Piers Davies and Paul Myburgh 14. Poland Andrzej Jakubowski and Olgierd Jakubowski 15. South Africa Margaret Beukes 16. Sweden Thomas Adlercreutz 17. Switzerland Marc-Andre Renold and Beat Schonenberger 18. Turkey Janet Blake 19. United Kingdom Kevin Chamberlain and Kristin Hausler 20. United States James A.R. Nafziger 21. Controls on the Export of Cultural Objects and Human Rights Kevin Chamberlain and Ana Vrdoljak 22. Foreign Objects and Nationalism Robert K. Paterson and Marc-Andre Renold 23. A Legal Pluralist Approach to International Trade in Cultural Objects Francesca Fiorentini
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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