Bibliographic record
Abstract
Overall economic growth in China is expected to reach 8.5% in 2003, the highest rate since the Asian economic crisis in 1997/98. However, the expansion was harshly interrupted in the second quarter of the year by the outbreak of SARS (severe acute respiratory syndrome) economic activity in certain sectors and regions was paralysed as a consequence of panic reactions on the one hand and far-reaching preventive measures, including travel-bans, quarantine, etc. on the other. The GDP growth rate declined to just 6.7% in the second quarter, after 9.9% growth in the first quarter of 2003. But growth resumed quickly when the disease was brought under control, reaching 9.1% in the third quarter. This gives an average 8.5% growth rate for the first nine months, which is expected to continue throughout the rest of the year and probably in 2004 as well. Such a scenario would be based on the assumption that the stimulating effects of a faster growing world economy in the year to come and policy measures to prevent an over-heating of the Chinese economy will roughly balance each other. As a consequence of its large population and rapid economic growth over the past 25 years, China has become the sixth largest economy in the world and the second largest in the region. Due to its export-oriented growth strategy, China¿s position is even more prominent in trade, ranking fourth in the world already. Moreover, China is particularly important in certain categories of exports (e.g. textiles & clothing, shoes, electric appliances, TV sets, cameras ) but imports as well (e.g. basic metals including steel, soybeans). It is in these product groups that China may significantly affect world prices and/or may impact on the development of industry in certain countries.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.097 | 0.032 |
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".