Bibliographic record
Abstract
R. Baxter, The Law of International Waterways (1964); C. B. Bourne, ‘International Law and Pollution of International Rivers and Lakes’, 21 University of Toronto Law Journal 193 (1971); A. Utton, ‘International Water Quality Law’, 13 Natural Resources Journal 282 (1973); F. Florio, ‘Water Pollution and Related Principles of International Law’, 17 Canadian Yearbook of International Law 134 (1979); J. Lammers, Pollution of International Watercourses: A Search for Substantive Rules and Principles (1984); J. Sette-Camara, ‘Pollution of International Rivers’, 186 RdC 117 (1984); H. Ruiz Fabri, ‘Règles coutumières générales et droit international fluvial’, AFDI 818 (1990); D. Caponera, Principles of Water Law and Administration, National and International (1992); A. Nollkaemper, The Legal Regime for Transboundary Water Pollution: Between Discretion and Constraint (1993); G. Hafner, ‘The Optimum Utilization Principle and the Non-Navigational Uses of Drainage Basins’, 45 Austrian Journal of Public International Law 45 (1993); E. Benvenisti, ‘Collective Action in the Utilization of Shared Freshwater: The Challenges of International Water Resources Law’ 90 AJIL 384 (1996); S. Toope and J. Brunee, ‘Environmental Security and Freshwater Resources: Ecosystem Regime Building’ 91 AJIL 26 (1997); C. Graffy, ‘Water, Water Everywhere, Nor Any Drop to Drink: The Urgency of Transnational Solutions to International Riparian Disputes’, 10 Georgetown International Environmental Law Review 399 (1998); S. Salman and L. Boission de Chazournes (eds.), International Watercourses: Enhancing Co-operation and Managing Conflict (World Bank Technical Paper No. 414, 1998); X. Fuentes, ‘Sustainable Development and the Equitable Utilization of International Water courses’, 69 BYIL 119 (1998); […]
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.246 | 0.074 |
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".