From Precaution to Profit: Contemporary Challenges to Environmental Protection in the Montreal Protocol
Bibliographic record
Abstract
Why, when global environmental protection efforts have never been more important, is the world's most widely acclaimed environmental agreement failing? The Montreal Protocol has been cited as the most successful global environmental agreement, responsible for phasing out the use of ozone-depleting substances. But, says Brian Gareau in this provocative and engaging book, the Montreal Protocol has failed-largely because of neoliberal ideals involving economic protectionism but also due to the protection of the legitimacy of certain forms of scientific knowledge. Gareau traces the rise of a new form of disagreement among global powers, members of the scientific community, civil society, and agro-industry groups, leaving them relatively ineffective in their efforts to push for environmental protection.
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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".