It's Ordered Chaos: What Really Makes Polycentrism Work
Bibliographic record
Abstract
Abstract This forum reimagines polycentric governance. It develops ideas of “ordered polycentrism” that can help international relations scholarship make fuller sense of contemporary governance of global affairs. How can we theorize the implicit bonding forces that bring deeper order to the surface disorganization of polycentric governance? We offer a key corrective to actor-focused institutionalist understandings by showing how polycentrism also involves deeper relations and structures. Six contributions offer various avenues to theorize deeper order in polycentric governance, each with reference to a substantive issue area. Jens Steffek draws upon constructivist theory of “norms” to argue that standards acquire autonomous ordering power in polycentric governance of global business. Maryam Deloffre adopts a “metagovernance” perspective to identify norms as aspirational visions structuring the regulation of humanitarian assistance. Next, Frank Gadinger explores polycentrism through the lens of “practices” that organize the everyday activities by multiple actors such as negotiating as well as the objects, technologies and expertise they use in these governance efforts. Zeynep Mencutek highlights “techniques” as micro-carriers of ordering practices in polycentric governance of irregular migration, stretching the limits of institutional rules. Maria Koinova discusses “informality” as a deeper structuring force in the governance of transit migration and diasporas, and how it is shaped by state capacities, political regimes, and regional dynamics. Finally, Jan Aart Scholte adds “underlying order” through macro-frameworks and, with illustrations from Internet governance, suggests that polycentrism is structured through a threefold combination of norms, practices, and underlying orders. Together, the six commentaries offer a menu of ways that future research can explore order in what institutionalism has depicted as chaos.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.067 |
| Scholarly communication | 0.015 | 0.022 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".