The Dragon in the Caribbean: the future of CARICOM-China trade relations
Bibliographic record
Abstract
Over the years, the trade performance of CARICOM states has decreased as a result of poor direct investment inflows, increasing global competition and the dependence of CARICOM states on their long-standing relationships with Europe and the US. The East Asian market is one of the fastest-growing regions in the world and has been highlighted as a potential region for CARICOM states to diversify their export markets. China is the largest entity within this market and is one of the world’s largest trading nations. China’s economic prowess has growing influence, and coupled with the erosion of CARICOM’s traditional trading relationships, it is essential to explore the possibility of engaging in deeper economic relations with China. Ultimately, this article proposes the creation of a comprehensive economic and trade agreement between CARICOM and China, based on a model agreement developed between Canada and the European Union. Therefore, this article will: outline the current economic relationship between CARICOM and China, and assess its impact; identify the parties’ interests; explain the concept of a comprehensive economic and trade agreement; explore the possible effects of entering into such a comprehensive economic and trade agreement with China; and, lastly, offer considerations on provisions that can be included to ensure the viability of the agreement.
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 | 0.002 | 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 | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".