Disaggregating <scp>public‐private</scp> governance interactions: European Union interventions in transnational private sustainability governance
Bibliographic record
Abstract
Abstract Transnational private sustainability governance, such as eco‐certification, does not operate in a regulatory or jurisdictional vacuum. A public authority may intervene in private governance for various reasons, including to improve private governance's efficient functioning or to assert public regulatory primacy. This article argues that to properly understand the nature of public‐private governance interactions—whether more competitive or complementary—we need to disaggregate a public authority's intervention. The article distinguishes between four features of private governance in which a public authority can intervene: standard setting, procedural aspects, supply chain signaling, and compliance incentives. Using the cases of the European Union's policies on organic agriculture and biofuels production, the article shows that public‐private governance interaction dynamics vary across these private governance features as well as over time. Furthermore, the analysis highlights the importance of active lobbying by private governance actors in influencing these dynamics and the resulting policy outputs.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".