Bibliographic record
Abstract
In the second half of 2003 and the first half of 2004, the Chinese Government adopted a moderately tight macroeconomic policy, which aroused widespread attention from home and abroad. This is because China's deepening of reform and openness has led to its increasing economic links with the outside world. Starting from analysing the characteristics of the Chinese economy in 2003, this article discusses the issue of contractive macroeconomic regulation. The article highlights that the growth of the Chinese economy in 2003 has two features. One is that China 's per capita gross domestic product (GDP) exceeded US$1 ,000, which indicates the Chinese economy may possibly maintain the momentum for rapid growth for a fairly long period. The second is that its year-to-year GDP growth reached 9.3 per cent, putting an end to the continual sliding trend of the economy between 1993 and 1999. It also put a stop to the Chinese economy's continual sluggish growth of between 7 and 8 per cent between 1998 and 2002, in the wake of the Asian financial crisis. The Chinese economy has embarked on a fast track in the new round of the economic cycle. However, in the third and fourth quarter of 2003 and the first quarter of 2004, China's GDP growth was as high as 9.6, 9.9 and 9.8 per cent, respectively, sparking a supply crisis in the coal, power, fuel and transportation sectors. As a result, important raw materials, such as steel and cement, faced a supply bottleneck and price inflation pressures intensified, Consequently, the Chinese Government, in a timely move, has adopted a moderately contractive macroeconomic policy to prevent the economy from fluctuating drastically and to avoid serious inflation to ensure a rapid, stable and sustainable economic growth. This is not only conducive to the growth of the country's economy itself, but also favorable for the development of the international trade and foreign investment in China.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".