Setting Status in Stone: The Negotiation of International Institutional Privileges
Bibliographic record
Abstract
This chapter forays into contemporary status competition in world politics from a practice perspective. My key premise is that because status is a social ascription, we should begin with the practical logics that fuel competition instead of starting from deductive categories set up by the analyst. Put differently, the best way to understand status struggles in world politics is to zoom in on how international practitioners conceive of status markers, how they rank countries, and according to what rules of the game. Among other things, an inductive and interpretive approach reveals that practical notions of status evolve over time and space. In fact, more often than not the very nature of status markers, as well as the legitimate ways to pursue them, are eminently contested. In and through practice, then, status competition is not only about how much status one country has , but also about what status is in the first place. To better understand contemporary status struggles in world politics, this chapter analyzes current debates about reforming the United Nations Security Council (UNSC). These negotiations, which take place mostly at the level of the General Assembly (GA, working group and informal plenary), form a prime locus of status competition in the early twenty-first century. Indeed, nowhere else do states debate as explicitly on the international pecking order and the principles by which a privileged few should be granted special status and powers. To capture status competition in practice, then, the reform debate is a uniquely rich source of data. In the second part of the chapter, I show how the peculiar normative framework of the reform, which in the last twenty years has evolved from a call for more efficiency to a push for more representativeness at the UNSC, significantly constrains the positions that member states take. Thanks to discourse analysis, I reconstruct the intersubjective space of contemporary status competition at the United Nations (UN), which imposes clear limits to how status-seekers may pursue new permanent seats. As self-serving as country positions may be, status competition at the UN is channeled through a practical set of rules of the game that have come to preclude the crude, explicit pursuit of one’s own prestige.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.037 |
| Scholarly communication | 0.018 | 0.016 |
| 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".