BRI VS. B3W: A RIVALRY FOR ECONOMIC HEGEMONY: AN ARCHIVAL RESEARCH
Bibliographic record
Abstract
The Belt and Road initiative was announced in 2013 under the administration of China’s President, Xi Jinping. It was designed to fulfill the aim of interconnecting Asia, Europe, and Africa through reliable connectivity networks. In reaction to it, the 47th summit of G7 in June 2021 has given a response to this Chinese Initiative with the idea of Build Back Better World (B3W). G7 tried to show that the world can have an alternative to BRI. The main objective of the study was to compare the feasibility of these two massive infrastructural projects. It is a qualitative document analysis of the previously published material on the related theme, that highlighted a competition of economic supremacy between the US and China. The research found that BRI was gaining enough popularity as compared to B3W in the eyes of the world specifically in connecting different regions.
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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.016 | 0.028 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".