Private authority and public policy interactions in global context: Governance spheres for problem solving
Bibliographic record
Abstract
Abstract Private organizations play a growing role in governing global issues alongside traditional public actors such as states, international organizations, and subnational governments. What do we know about how private authority and public policy interact? What are the implications of answering this question for understanding support for, and effects of, policy development generally? The purpose of this article is to reflect on these questions by introducing, and reviewing, a special issue that challenges explicit claims, and implicit methodologies, that treat private and public governance realms as distinct and/or static. We do so by advancing a theoretical and conceptual framework with which to explore how the contributions to this special issue enhance an understanding about governance interactions across a range of empirical, sectoral, and regional domains. We specifically introduce the concept of governance spheres to capture the proliferation of issue domains denoted by highly fluid interactions across public and private governance boundaries.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.022 | 0.017 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| 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".