The Belt and Road Initiative and Reconstruction of the World Order: Strategic Reflections Basing on a China-led New Era
Bibliographic record
Abstract
As a platform for international cooperation, the Belt and Road Initiative serves as a bond for peace with peaceful development and win-win cooperation as its fundamental target. Based on economic and trade collaboration, the Initiative also aims to promote political diplomacy and cultural exchanges. Construction of the Belt and Road Initiative is a demonstration of Chinese cultural value featured by openness, inclusiveness, peace and amicability. The paper makes comparative study on the Belt and Road Initiative and the Marshall Plan which is launched by United States for revival of post-war Europe. We find out that the two are intrinsically different in contexts, contents and participants despite a few similarities. Then the paper further analyses achievements and problems along the process as well as its impact on world strategic pattern. In all, the Belt and Road Initiative is a sign showing that Chinese opening-up has upgraded and entered a new phase of growth. This will, therefore, bring about profound influence on common prosperity of the world. What is more, China should make a voice in cooperation when carrying out the Initiative. Also, China ought to propose cooperation between countries and regions which is conducive to world peace and strategic partnership featured by mutual help, benefits and common prosperity.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".