National treaty law and practice : dedicated to the memory of Monroe Leigh
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
Dedication, Duncan B. Hollis, Merritt R. Blakeslee, & L. Benjamin Ederington, About the Contributors, Chapter 1: A Comparative Approach to Treaty Law and Practice, Duncan B. Hollis, Chapter 2. Austria, Franz Cede and Gerhard Hafner, Chapter 3. Canada, Maurice Copithorne, Chapter 4. Chile, Francisco Orrego Vicuna and Francisco Orrego Bauza, Chapter 5. China, Ambassador Xue Hanqin, Hu Zhiqiang, and Fan Kun, Chapter 6. Colombia, German Cavelier, Chapter 7. Egypt, Judge Nabil Elaraby, Mohammed Gomaa, and Lamia Mekhemar, Chapter 8. France, Pierre Michel Eisemann and Raphaele Rivier, Chapter 9. Germany, Hubert Beemelmans and Hans D. Treviranus, Chapter 10. India, K. Thakore, Chapter 11. Israel, Ruth Lapidoth, Chapter 12. Japan, Ambassador Takao Kawakami, Chapter 13. Mexico, Luis Miguel Diaz, Chapter 14. The Netherlands, Jan G. Brouwer, Chapter 15. Russia, William E. Butler, Chapter 16. South Africa, Neville John Botha, Chapter 17. Switzerland, Luzius Wildhaber, Marc D. Schinzel, and Adrian Scheidegger, Chapter 18. Thailand, Sompong Sucharitkul, Chapter 19. United Kingdom, Sir Ian Sinclair, Susan J. Dickson, and Graham Maciver, Chapter 20. United States, Robert E. Dalton, Acknowledgements, Index
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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