Withdrawing the United States from the WTO Government Procurement Agreement (GPA): Assessing Potential Damage to the U.S. and Its Contracting Community
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
The Trump administration is mulling an executive order that would trigger U.S. withdrawal from the WTO Agreement on Government Procurement (GPA), according to reports from Bloomberg and POLITICO. Withdrawal from the GPA would deprive U.S. suppliers of a key point of access to public procurement markets internationally, under a world-wide agreement which has set global standards and opened over a trillion dollars annually in business opportunities. See, e.g., Anderson et al., “Assessing the Value of Future Accessions to the WTO Agreement on Government Procurement (GPA): Some New Data Sources, Provisional Estimates, and An Evaluative Framework for Individual WTO Members Considering Accession,” 2012 Pub. Proc. Law Rev. 113. The United States could forfeit access to important public procurement markets in Canada and many other countries, and the United States could lose its leadership role (which dates back to World War II) in shaping global standards in public procurement, even as more countries are joining the GPA.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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