The Clean Energy Ministerial: Motivation for and policy consequences of membership
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
What motivated national governments to join the Clean Energy Ministerial (CEM), a climate club founded in 2010? And to what extent have the club members participated in policy initiatives developed by the CEM? Our analysis shows that combinations of (a) the expected benefits of club membership and (b) the leadership of the USA induced the governments of Australia, Brazil, Canada, China and the United Arab Emirates (UAE) to join the CEM. The importance of these two factors varied across countries. Participation levels in the CEM’s policy initiatives varied over time. While this variation happened in a ‘proportionate’ manner for Australia, Canada and China, we observed singular instances of ‘disproportionate’ changes in levels of policy effort for the UAE and Brazil. Overall, our findings suggest that climate clubs constrain the behaviour of its members by discouraging them from engaging in sustained policy under-reactions.
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 | 0.001 | 0.008 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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