Constraining Coercion? Legitimacy and Its Role in U.S. Trade Policy, 1975–2000
Bibliographic record
Abstract
Abstract The role of legitimacy in international relations is a topic of much debate, yet there is little understanding of the mechanism behind it. Here I address this discrepancy by asking: are state threats perceived as (il)legitimate more or less likely to be successful? By operationalizing illegitimacy as unilateral action in the presence of a multilateral option, I consider the variation in the success of U.S. trade measures from 1975 to 2000. As I show, the (il)legitimacy of threats modifies the nature of the signal sent by concessions to those threats, and this effect can be measured and predicted. I find that, controlling for material pressure, perceived illegitimacy of U.S. trade threats decreases the likelihood of a target conceding by over 34 percent. Moreover, it pays to resist: targets that resist illegitimate unilateral measures from the United States are 25 percent less likely to encounter similar unilateral measures over the following five years.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".