The Politics of Trade Adjustment Versus Trade Protection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The United States’ Trade Adjustment Assistance (TAA) program seeks to help workers transition away from jobs lost to import competition. By contrast, trade remedies like antidumping seek to directly reduce the effect of competition at the border. Though they have very different economic effects, we show that trade adjustment and protectionism act as substitutes. Using the first geo-coded measure of US trade protectionist demands, we show that controlling for trade shocks, counties with a history of successful TAA petitions see fewer calls for trade protection. This effect holds when we confine our analysis to the steel industry, a heavy user of antidumping duties. And though they are both means of addressing import exposure, the two policy options have distinct political effects: in particular, successful TAA petitions carry a significant electoral benefit for Democratic candidates. Greater recognition of the substitutability of trade compensation and protectionism would improve governments’ response to import exposure.
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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 | 0.000 |
| 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) | 0.000 | 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