Further Back to the Future: Neo-Royalism, the Trump Administration, and the Emerging International System
Bibliographic record
Abstract
Abstract With the Liberal International Order (LIO) in decline, scholars have focused increasingly on the possible return to a Westphalian great power system marked by sovereigntist claims and balancing among states. The actions of the Trump administration, however, raise a number of significant puzzles for such accounts—the US seems willing to sign deals with traditional adversaries including Russia and China, while targeting long-standing allies like Canada and Denmark. At the same time, transactional politics often serve narrow personalist interests rather than national objectives. In short, a Westphalian lens focused on states and sovereignty may generate intellectual blinders that misreads the emerging international order. To overcome these limitations, we propose an alternative account, which we label neo-royalism. The neo-royalist order centers on an international system structured by a small group of hyper elites, which we term cliques. Such cliques seek to legitimize their authority through appeals to their exceptionalism in order to generate durable material and status hierarchies based on the extraction of financial and cultural tributes. This short paper lays out the key elements of the neo-royalist order, differentiating it from the Westphalian and Liberal International Orders, and applies its insights to better grapple with the emerging system being promoted by the United States under Donald J. Trump. For policymakers and scholars, the neo-royalist approach clarifies recent events in US foreign policy. Theoretically, the field should take contending ideas of international order seriously, and establish a research agenda beyond a backward looking view to the Westphalian moment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".