Liberalization in China's Key Service Sectors Following WTO Accession: Some Scenarios and Issues of Measurement
Bibliographic record
Abstract
This paper documents and assesses the significance of the policy changes in China that WTO accession implies in 3 key service categories (banking, insurance, and telecoms), asking whether it is likely they will really be fully implemented in their entirety as undertaken at signature in 2002.While it would seem that China will have extraordinarily open markets for these services by 2007 (and for banking, perhaps in the world), the starting point for implementing these policy changes seems so highly restricted that doubts have been raised about the feasibility of implementing such changes over such a short time even if threats of eventual retaliation from WTO partners speeds things along.WTO members are monitoring the implementation of China's WTO commitments, and following dispute settlement might retaliate in the future were these agreed changes not to be implemented.I discuss what scenarios this liberalization might follow, and ask whether these commitments can really be implemented as undertaken.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".