Consensus-seeking, distrust and rhetorical entrapment: The WTO decision on access to medicines
Bibliographic record
Abstract
While the WTO secretariat, key delegations, several NGOs, and industry publicly present the 30 August 2003 WTO Decision as an attempt to reconcile intellectual property with access to medicines, our research shows otherwise. We draw on qualitative analyses of 54 interviews and a lexicometric analysis of press releases to show that their enthusiastic public statements contrast deeply with their internal, cynical beliefs. Most of these actors not only consider the WTO Decision to be fundamentally flawed but claim to have known this prior to its adoption. We argue that a procedural norm of consensus-seeking impeded traditional bargaining over this sensitive issue and that distrust among participants hindered truth-seeking deliberation. Caught between strategic and communicative actions, state and non-state actors found themselves trapped in their own rhetoric of reconciling intellectual property with access to medicines. They realized that the appearance of a solution, rather than a functional solution, provided the only realistic outcome to a fruitless and publicly damaging continuation of debate. From a theoretical perspective, this case study sheds a new light on the gray zone between rational choice theory and constructivism, where both discourse and strategies matter. From an empirical perspective, it illustrates the risk of seeking consensus within international regimes when the procedural norm of consensus coexists with a high level of distrust.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.060 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.045 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".