International Investment Disputes, Media Coverage, and Backlash Against International Law
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
This paper puts forth a theory explaining domestic backlash against international investment law by connecting media coverage—specifically the bias in the news media’s selection of international disputes—to public opinion formation towards international agreements. To test our theory, we examine both the content and effects of the media’s reporting on international disputes, focusing on the increasingly controversial form known as investor-state dispute settlement (ISDS). We find that newspaper outlets in both the United States and Canada have a bias in favor of covering disputes filed against their home country as opposed to those filed by home country firms. Using two national survey experiments fielded in the United States and Canada, we further find that the bias in news story selection has a strong negative effect on attitudes towards ISDS and related agreements, especially among highly nationalistic individuals.
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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 | 0.000 |
| 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 | 0.001 |
| 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