Trump Administration Continues Trade Negotiations with Major Trade Partners
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
In the fall of 2019, the Trump administration reached several trade arrangements, some of them tentative, with important U.S. trade partners. On October 11, 2019, China and the United States announced a preliminary trade deal subject to finalization—one that came after more than a year of escalating tariffs. Just a week earlier, the United States had signed two trade agreements with Japan, one regarding tariff reductions and the other regarding digital trade. None of these deals appear to require subsequent congressional approval in the eyes of the executive branch, unlike the earlier United States-Mexico-Canada-Agreement (USMCA), which was signed in November 2018 and whose fate in Congress appears promising as of mid-December of 2019. In addition to these trade arrangements, the fall of 2019 saw several developments in trade relations between the United States and the European Union tied to the long-running trade disputes.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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