A Review of the cross-Strait Relations According to the Rise of the Chinese Community and the Hegemonic Competition: The Strategic Consideration of the cross-Oceanic Canal
Bibliographic record
Abstract
According to "A German Media Forecasts the next 30 year of China" a report which appeared in November 2016 in the internet, around the year 2033, surrounding the Chinese mainland, a Greater China region will be formed. It is expected that its total economy will be similar in size to that of the United States. It seems inevitable that by 2040, the Oriental world wealth will be more than the Western world’s, while the global GDP ranking after re-shuffling may be sorted as follows: 1. Greater China; 2. European Union; 3. North America (USA and Canada); 4. Japan; 5. Republic of Greater Korea; and, 6. India. Through the presentation of this argument, this article hopes to understand the process of China's rise, the Chinese community's future overall cooperation, as a way to approach the hegemonic competition between China and the United States, and the future of cross-Strait relations. Finally, from the angle of the trans-oceanic canal construction, some observations will also be made
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".