Bibliographic record
Abstract
Global policymaking is fundamentally political: the assumption that “if only people could agree, then we would live in a better world” makes for a deeply problematic starting point for the analysis of global governance. Any collective course of action is bound to favor some groups more than others, and to embody a particular vision of the common good at the expense of alternative perspectives. Focusing on social conflict as the engine of global governance helps us to bring politics to the fore, not as a hindrance but as the natural condition of society – global or otherwise. In any policymaking process, power dynamics and unequal participation ultimately remain; however, inclusive contemporary global practices claim to be. Likewise, the competing value systems and ideologies that structure global policymaking can never be fully arbitrated by objective and neutral means. We connect our framework and cases to the broader politics of global governance, identifying two basic cleavages between globalists and sovereigntists, on one hand, and between issue-specific Leftist versus Rightist positions. This impressionistic overview has the advantage of showing how global policymaking, far from floating in a political void, is in fact embedded in a broader fabric of social conflict.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.213 | 0.080 |
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".