Bibliographic record
Abstract
In this article, we approach world politics through the lens of its manifold practices, which we define as competent performances. Studying International Relations (IR) from the perspective of international practices promises three key advances. First, by focusing on practices in IR, we can understand both IR theory and international politics better or differently. World politics can be conceived as structured by practices, which give meaning to international action, make possible strategic interaction, and are reproduced, changed, and reinforced by international action and interaction. This focus helps broaden the ontology of world politics, serves as a focal point around which debates in IR theory can be structured, and can be used as a unit of analysis that transcends traditional understandings of ‘levels of analysis’. We illustrate what an international practice is by revisiting Thomas Schelling's seminal works on bargaining. Second, with the help of illustrations of deterrence and arms control during the Cold War and of post-Cold War practices such as cooperative security, we show how practices constitute strategic interaction and bargaining more generally. Finally, a practice perspective opens an exciting and innovative research agenda, which suggests new research questions and puzzles, and revisits central concepts of our discipline, including power, history, and strategy.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.010 |
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".