Montreal Protocol at 30: The governance structure, the evolution, and the Kigali Amendment
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
Scientific discoveries, national regulations, and international agreements impact our lives. If we bring all three together in a solid but flexible governance structure, then we are able to address those impacts and share more evenly their consequences across different nations. This is what the Montreal Protocol has done in its 30 years of life and will continue to do thanks to the recent Kigali Amendment. There are many lessons for diplomacy to be drawn from the recent negotiations, including the critical role of science. The most important lesson in reaching consensus is the injection of optimism, pride, ownership of the process, and building trust among all nations. The solid yet flexible foundation of the Montreal Protocol provided a firm grounding for the Kigali negotiations to experiment with the different negotiating techniques in a forum where countries, industry, non-governmental organizations, and scientists are brought together by the United Nations.
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 | 0.000 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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