Bibliographic record
Abstract
• Growth: For 25 years China has been the world’s fastest growing economy; 9-10 percent annual growth means that the economy doubles in size every 7-8 years. • Size: by purchasing power parity China is already the world’s second largest economy after the United States; measured by current exchange rates its economy is the world’s sixth largest after the United States, Germany, Japan, the United Kingdom and France, and will soon be the fourth largest, • Integration through foreign direct investment (FDI): in the past 5 years China has emerged as a global manufacturer and trader because of FDI inflows; in the past four years it has received the largest absolute inflows (although round-tripping through Hong Kong is a contributing factor). • Integration through trade: In 2005, the size of its total trade (imports plus exports) surpassed Japan’s to make it the world’s third largest trader. These numbers need to be put in perspective in at least three ways. First, even when China becomes the world’s largest economy, its average citizen will still be relatively poor. It has been said that China will grow old before it becomes rich. Second, many of the superlatives apply to three city clusters, in the Pearl River Delta, around Shanghai and around Beijing, where huge building programs and infrastructure projects have propelled more than 140 million people to first world status. Third, we cannot talk about the future without understanding thousands of years of history. Going back just to the 1949 revolution, private property was abolished and today attitudes remain ambivalent towards property rights despite their importance as a key building block of a modern market economy. Even so, the past 30 years provide a remarkable record of successful economic policies. China’s managers are doing many of the right things to create a transparent market economy, but major political constraints remain because of the communist party’s determination to maintain its grip on political power and on the commanding heights of the economy.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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".