Does Institutional Proliferation Undermine Cooperation? Theory and Evidence from Climate Change
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
Abstract Global politics has undergone a tremendous institutional proliferation, yet many questions remain about why states join these new institutions and whether they support cooperation. I build on existing work to develop a general theory of state participation in dense institutional environments that also helps to explain cooperative outcomes. I argue that states may be dissatisfied when cooperation proceeds either too slowly or too quickly and that these two types of dissatisfaction motivate opposing participation behaviors. Deepeners are states that are dissatisfied with the slow pace of cooperation and join institutions to support cooperation, while fragmenters are states dissatisfied with the quick pace and join institutions to undermine cooperation. I evaluate my argument using new data on sixty-three climate institutions and states’ greenhouse gas mitigation targets in the Paris Agreement on Climate Change. I find that membership in climate institutions designed to facilitate implementation is associated with more ambitious targets, while membership in general is unrelated to targets.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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