Geopolitical shifts in the triangle “US–GCC–China”: present relations and future prospects
Bibliographic record
Abstract
With roughly a quarter of the world’s population the entry of China into the global market represents, in the Arab view, the rise of a non-Western nation to the rank of a major power for the first time since World War I. While this view carries hope to all developing countries, Arab countries included, it raises an important question: how will the Arab nations deal with this new Chinese reality that is gradually taking shape next to them? There are 22 Arab states, each with its own economic and political agenda, plans and objectives. Some differ, and some are similar, which makes it difficult to predict the ways in which they will react to any future economic, social, political, or geopolitical phenomenon. For this reason, the authors attempt in this chapter to answer the question within the limits of a sub-regional system, namely the Gulf Cooperation Council (GCC).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".