Science and Diplomacy: Montreal Protocol on Substances that Deplete the Ozone Layer
Bibliographic record
Abstract
The ozone layer forms a thin shield in the stratosphere, protecting life on Earth from harmful ultraviolet radiation. Emissions of ozonedepleting substances (ODS) used in many sectors (such as refrigeration, airconditioning, foams, and firefighting) destroy stratospheric ozone. Increased ultraviolet radiation from major depletion of stratospheric ozone can cause increases in skin cancer and cataracts, weaken the human immune systems, damage some agricultural crops, impact natural ecosystems, and degrade materials such as plastic. The Montreal Protocol on Substances that Deplete the Ozone Layer seeks worldwide phaseout of the production and consumption of ODS. Scientists confirmed that the protocol is working and that the ozone layer is on its way to recovery around the year 2050. Science and technology, including research at Antarctic stations proving that manufactured chemicals destroy stratospheric ozone and cause the Antarctic ozone hole, played important roles in the evolution and success of the protocol. Scientists provided early warning about the issue, discovered the Antarctic ozone hole, and linked it to CFC emissions and, along with nongovernmental organizations and the media, informed the public. The United Nations Environment Programme facilitated negotiations by governments. Science and technology panels of the protocol verified the performance of and facilitated periodical strengthening of the protocol. The scientific findings stimulated and motivated industry to innovation of alternatives to ODS. The protocol promoted universal participation, early action, continuous learning, and progressively tougher action. The protocol’s Multilateral Fund and its implementing agencies assisted developing countries through technology transfer, creation of national focal points and networks, training, and introduction of regulations and policies.
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.
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 | 0.020 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.023 | 0.017 |
| Insufficient payload (model declined to judge) | 0.120 | 0.083 |
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".