How a Retreat from Global Economic Governance May Empower Business Interests
Bibliographic record
Abstract
After decades of broad, bipartisan support for global economic integration, US politics has been shaken by a backlash against global economic governance. The promise of internationally derived gains no longer suffices to smooth over domestic distributional consequences. The Trump administration has turned inward, shunning multilateral governance and raising the following question: If the US and other protectionist governments step back from global economic governance, what will step forward? We contend that weakened global governance is unlikely to cause economic integration itself to unravel. Powerful business interests that benefit from the global economy can use private governance to set their own regulatory agendas using their market power. By stepping away from global governance, states weaken their own bargaining power vis-à-vis powerful domestic groups and curtail the influence of civil society groups. Paradoxically, the Trump administration’s step back from global governance would leave power in the hands of firms that predominantly benefit from the status quo.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".