Bibliographic record
Abstract
To date, much of the work on "regime complexes"—loosely connected nonhierarchical institutions—has excluded an important part of the institutional picture: the role of private authority. This paper seeks to remedy this shortcoming by examining privately created standards within the regime complex for climate change and their relationship to public authority. Public rules in the Kyoto Protocol serve as a "coral reef," attracting private rulemakers whose governance activities come to form part of the regime complex. Using original data, I conduct a network analysis of public and private standards for carbon management. Surprisingly, I find evidence of policy convergence—both around public rules and a subset of privately created rules: there is an emerging order in the complex institutional landscape that governs climate change. The observed convergence arises from private standards' concerns about demonstrating credibility and providing benefits for users. These findings are important for scholars of institutional complexity and climate politics: public rules on carbon accounting have the potential to outlast their current incarnation in the Kyoto Protocol, as perpetuated through private authority.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".