Postnational discourse, deliberation, and participation toward global risk governance
Bibliographic record
Abstract
Abstract An emerging task in world politics is to cope with human-induced global risks in domains such as environment, economy, security, and health. Current global governance institutions are largely incapable of tackling global risks and applying deductive policy models, which is why new modes of interaction may become essential. In this article I argue that through focused discourses, key peculiarities of global risks, namely complexity, scientific uncertainty and sociopolitical ambiguity, may be identified and understood. To this end, distinctively discursive and pragmatic learning processes can be developed. Different forms of deliberation and participation help develop processes that meet the challenges, problems, and conflicts that result from the key peculiarities of global risks. Hence, the article establishes a causal link between key peculiarities of global risks and postnational discourses. I discuss the varying forms of deliberation and participation (epistemic institutions, associational policy making, and transnational public deliberation and participation) of three discourses that produce institutional problem solving capacity in global risk governance. To this end, this article links theory and practice as well as normative conceptualisation and institutional feasibility.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".