Trade Rage: Audience Costs and International Trade
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
Politicians frequently issue public threats to manipulate tariffs but only sometimes follow through. This behavior theoretically ought to generate audience costs. We therefore test the validity of audience costs in trade war settings through a vignette-based survey experiment. The vignettes describe a hypothetical situation involving the U.S. and a second country (China, Canada, or unspecified) with whom the U.S. has a trade deficit. The president (Democrat, Republican, or unspecified) either maintains the status quo, threatens to impose tariffs and backs down, or threatens to impose tariffs and follows through. Our findings highlight differences between security and trade conflict when it comes to audience costs and presidential approval. While Americans sanction the president for issuing a threat to raise tariffs, they generally support backing down. Regression modeling and text analysis of a free response question from our surveys suggest this is because consumers are wary of paying the costs of tariffs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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