Measuring the Cost of Privacy: A Look at the Distributional Effects of Private Bargaining
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
Transparency is one of the most contested aspects of international organizations. While observers frequently call for greater oversight of policy making, evidence suggests that settlement between states is more likely when negotiations are conducted behind closed doors. The World Trade Organization’s (WTO) legal body provides a useful illustration of these competing perspectives. As in many courts, WTO dispute settlement is designed explicitly to facilitate settlement through private consultations. However, this study argues that the privacy of negotiations creates opportunities for states to strike deals that disadvantage others. Looking at product-level trade flows from all disputes between 1995 and 2011, it finds that private (early) settlements lead to discriminatory trade outcomes – complainant countries gain disproportionately more than the rest of the membership. When the facts of a case are made known through a ruling, these disproportional gains disappear entirely. The article also finds that third-party participation – commonly criticized for making settlement less likely – significantly reduces disparities in post-dispute trade. It then draws parallels to domestic law and concludes with a set of policy prescriptions.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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