Financial technocrats as competitive regime creators: The founding and design of the Network for Greening the Financial System
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 Why did a group of eight central bankers and financial supervisors from across the globe create a Network for Greening the Financial System in 2017? Why did they design this network as they did? The founders were an uncommon coalition, led by French financial authorities working closely with their Dutch, British, and Chinese counterparts, and backed by others from Germany, Mexico, Singapore, and Sweden. They were engaged in an unusual act of competitive regime creation at a moment when the United States was abandoning global leadership vis‐a‐vis climate change. This purpose led them to create a financial transgovernmental network that was distinctive in its roles, membership, and governance. Addressing these questions not only improves understanding of a body that has emerged as a leading voice in global discussions about the environmental aspects of financial policy. It also contributes to wider scholarship on financial transgovernmental networks and the greening of central banks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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