What Can Be Learned from Experience with Scientific Advisory Committees in the Field of International Environmental Politics?
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 advisory committees (SACs) are a critically important part of global environmental policy. This commentary reviews the role of SACs in six global and regional environmental regimes, defined here as the set of rules, norms, and procedures that are developed by states and international organizations out of their common concerns and used to organize common activities. First, SACs play a critical role in putting issues on the political agenda and the creation of an overarching regime. Second, the effectiveness of a given SAC and the associated regime is highly variable. Third, there is also considerable variation in the extent to which the regime is driven by an overarching scientific consensus, for example, high in the case of climate change, lower in the case of whaling. Fourth, the role of science in a given regime is also a function of whether the problem being addressed is relatively benign or more malign, that is to say, marked by deep political disagreements (i.e., climate change). Finally, the cases examined here suggest that the institutional design of the SAC matters and can influence the overall effectiveness of the SAC and by extension, the regime, but it is seldom decisive.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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