Should China Join the New Trans‐Pacific Partnership?
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
Abstract After President Donald Trump's ill‐advised pullout from the Trans‐Pacific Partnership (TPP) and despite the absence of the US, the remaining 11 Asian and Pacific countries agreed on a deal, renamed the Comprehensive and Progressive Agreement for Trans‐Pacific Partnership (CPTPP). The accord took effect on 30 December 2018 and provides rigorous, up‐to‐date rules for Asia‐Pacific trade, but excludes the region's two biggest economies: the US and China. In this paper, we calculate that Chinese membership in the CPTPP would yield large economic and political benefits to China and other members. The CPTPP, in its current form, would generate global income gains estimated at US$147bn annually. If China were to join, these gains would quadruple to US$632bn, or a quarter more than in the original TPP with the US. But to join the CPTPP, China would have to undertake unprecedented reforms and manage complex political challenges.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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