Inspirations of Lome Agreement for Sino-Africa Economic and Trade Cooperation
Bibliographic record
Abstract
In recent years, Sino-African economic and trade cooperation is strengthened day by day. As the African area enters into a period of rapid economic growth, developed countries such as America and Europe have begun to adjust economic and trade policies to Africa actively as to replying the rising status of China in the foreign economic and trade relations of Africa. Under this background, the Chinese economic and trade policies on Africa in the future with will face the challenge of European and American countries. Lome Agreement which was made between the EU and ACP countries containing the main African countries is a very fruitful one among the overall institutional arrangements of African foreign economic and trade relationship. It can provide the beneficial reference for the Sino-African economic and trade cooperation. This paper deeply combs and analyzes historical background, the core content and the process of evolution of the Lome Agreement, and puts forward the suggestions on the Sino-African economic and trade cooperation in the future.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".