How Political Risk Influences FDI Destinations for MNEs: Evidence from Statistical Analyses, Interviews and a Survey Experiment on Investor–State Dispute Settlement
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
Foreign direct investment involves substantial and long-term investments by foreign companies, which have sometimes been expropriated by national governments. Over the past 35 years, international investment treaties have enabled private companies to sue governments at international tribunals for alleged treaty violations, a shift from traditional state-to-state judicial actions. This dissertation explores how such disputes impact foreign direct investment destinations through statistical analyses and interviews. Additionally, a survey experiment in the U.S. empirically examines factors shaping public preferences for government behavior in these disputes. The findings enhance the existing literature and contribute to policy discussions on redefining the international investment regime.
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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 | 0.001 | 0.001 |
| 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