INTERNATIONAL TRADE REVIEW OF ASIAN TIGERS COUNTRIES (2000-2020)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
East Asian countries have a significant share in world trade and production. Taiwan, Hong Kong, Singapore, and South Korea, also known as Asian tigers, stand out among other East Asian countries. These countries have come to a position that directs world trade in the last quarter-century with their growth rates, competitive advantages they have achieved in their markets, and the level they have reached in the field of technology. From this point of view, this study investigated the foreign trade activities of the Asian Tigers countries (Taiwan, Hong Kong, Singapore, and South Korea) for the 2000-2020 period and to determine the countries with which the Asian Tigers trade the most. The data used in the study were obtained from the “World Trade Organisation” and "Trademap" sites. The Asian Tigers have had a financially solid and successful period every year. They have a successful economic policy that can quickly overcome crisis periods with minor damage. It has been seen that they are among the best countries in foreign trade with their export-based foreign trade policies and technology infrastructure investments.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it