Bibliographic record
Abstract
As a result of Japan’s defeat in World War II, the prewar regional political economy of East Asia within the framework of the Japanese empire was substantially transformed. The postwar political economy of East Asia was initially structured under the aegis of the United States, reflecting the political and economic conditions in the region at the time. As part of its postwar strategy in East Asia, Washington encouraged regional economic integration centered on Japan with noncommunist East and Southeast Asia functioning as a market and source of raw materials for the Japanese economy. The development of postwar economic relations between Japan and other capitalist economies in the region basically proceeded along this line. By the mid-1960s, with the normalization of relations between Japan and South Korea, the East Asian political economy had been solidly resumed. Thereafter, the major market economies in East Asia successively achieved economic miracles with Japan emerging as a new economic superpower and South Korea, Taiwan, and Hong Kong becoming newly industrializing economies. In this process, these economies became increasingly interdependent through growing trade and FDI among them. In the late 1970s,China moved away fromMao’s policy of self-reliance and began to participate in the regional and international economy. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".