Constraining Coercion? Legitimacy and Its Role in U.S. Trade Policy, 1975–2000
Why this work is in the frame
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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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it