The Micro Foundations of Policy Diffusion Toward Complex Global Governance
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
Greenhouse gas emissions trading (ET) systems have become the centerpiece of climate change policy at multiple scales, unexpectedly largely outside of the UN climate governance process. The diffusion of ET is best described as a case of polycentric diffusion, where ET systems diffused to multiple loci of governance, but where they all serve similar goals under a broad policy framework guided loosely by the UN-based climate regime. Using network analysis combined with qualitative data, we explain how this polycentric pattern of policy development emerged, who carried and spread it and how, and how the idea has spread into a polycentric governance system. We contribute to the policy diffusion literature in a novel way to explain diffusion toward polycentric governance, show the limits of the existing literature to explain the diffusion of ET, and show the utility of network analysis in understanding the process and mechanism of polycentric diffusion.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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