Treaty amendment procedures: A typology from a survey of multilateral environmental agreements
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Treaty amendments constitute a critical but under-researched aspect of international law. In this article, we present a comprehensive survey of 491 amendment procedures across 691 multilateral environmental agreements. We use this data collection to build a typology of amendment procedures based on various combinations of control, adaptability, and flexibility. We introduce the property space reduction method as a valuable tool for building typology and analysing international law. We find a clear trend towards the inclusion of amendment procedures, which makes treaties increasingly adaptable. This adaptability is generally coupled with flexibility to avoid infringing on consent. As a result, amended treaties risk being increasingly fragmented into differentiated bundles of obligations split among subsets of members. We also examine how key features of treaty membership, such as power distribution, correlate with the occurrence and types of amendment procedures.
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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 | 0.000 | 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) | 0.001 | 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