The 2016 Election and America’s Standing Abroad: Quasi-Experimental Evidence of a Trump Effect
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
Global favorability toward the United States declined by more than 10 percentage points from 2016 to 2017. This shift coincided with the end of the Obama administration and the inauguration of Donald Trump—but did Trump’s election cause America’s standing abroad to erode? Leveraging a natural experiment, we show that Trump’s victory had an immediate, negative effect on international public opinion toward the United States. Our identification strategy exploits the fact that a major cross-national survey, the AmericasBarometer, was in the field when the 2016 US presidential election occurred. Using data from four Latin American countries, we compare respondents surveyed just before and after the election. We find that Trump’s unexpected win caused a sharp drop in trust in the US government. While scholars have long observed that domestic political considerations shape leaders’ foreign policy decisions, we show that domestic political events—such as elections—can also affect a country’s international image.
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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 | 0.001 | 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) | 0.000 | 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