Relocation from China (with Chinese characteristics)
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
Rising global political tensions and increasing use of trade policies are popularly seen as potential threats to globalization. Will these factors lead to the ‘decoupling’ of affected economies, or reshape relations between trade partners in more complex ways? We consider this question by studying the recent evolution of the economic relationship between China and the US, in the context of a sharp fall in direct China-US trade. Using firm-level and product-level data, we show that Chinese manufacturing investment and Chinese-produced parts have increasingly flowed to third-country ‘winners’ who have simultaneously increased their US market share. This suggests that Chinese economic actors have continued to participate in reorganized China-US supply chains. We present evidence that our findings capture expanding indirect relationships linking China and the US rather than broader economic trends within the ‘winners’ themselves. • The share of Chinese goods in US imports has fallen sharply in recent years. • However, we find evidence of expanding indirect China-US economic relations. • ‘Winners’ of US import share have hosted more new Chinese manufacturing affiliates. • Chinese parts have increasingly flowed to ‘winners’ of downstream US market share. • Rising political tensions and activist trade policy might not imply ‘decoupling’.
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 | 0.000 |
| 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