Bibliographic record
Abstract
This study is to examine countermeasures to the possibility of the abrupt change in Chinese Rinminbi through analyzing the effect of the real effective exchange rates in Chinese Rinminbi on the export and import prices in trade between China and Korea. The export and import prices are calculated by the value of exports and imports divided by the quantity. The SITC are categorized by 10 sections to analyze the prices items by items. Since SITC 9 section is not available, this study use the sections from SITC 0 to SITC 8. The Chinese Rinminbi nominal and real effective exchange rates are used by explanatory variables. The data are covered the periods from the first quarter of 1994 to the first quarter of 2010. The empirical results in all cases except SITC 1, the adjustment is occurred by nominal and real effective exchanger rates, in which all signs of direction are positive. This implies in the fixed Chinese Rinminbi exchange rate system that the deviations from long-run equilibrium lead to completely increase the consumer price index. This study show that machinery, steel and petrochemistry over 30% in exports to China have the price competitive advantage due to the appreciation in Chinese Rinminbi, but they may also have negative impacts from the abrupt changes in Chinese economy.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".