The Potentials of Scientific and Industrial Collaborations in the Field of REE through China’s Belt and Road Initiative
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Within the framework of trade deals and infrastructure investments, China also wants to build a "belt of scientific cooperation" with countries and international organisations involved in the Belt and Road Initiative. This could create an opportunity for involvement of several European countries that have so far treated China’s initiative with skepticism about the coherence and practicality of the project. A crucial issue that concerns both China and the European Union in the recent years is the establishment of an undisrupted supply of critical raw materials to satisfy the consumption demands of the modern high-tech world that we live in. Among the listed critical raw materials are the rare earth elements (REE). Accordingly, the development of an extended and sustainable REE supply chain is a significant research field in which both sides could collaborate and benefit from. It is crucial for the involved countries to utilise their advantages, work together and share knowledge to tackle technical, economic and environmental issues that govern the global rare earth industry. Hence, in this paper the possibilities of a potential cooperation are investigated in the context of collaborative research projects, academic networking, workshops and training for young scientists. The aim is to seek, find and bridge any gaps that exist between the two sides with a view to strong academic and industrial collaborations.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it