Bibliographic record
Abstract
Abstract: In recent decades, China has emerged as a major economic power operating within the Caribbean, making the analysis of its foreign policy strategy in the region of paramount importance. This essay will seek to identify the ideology undergirding China’s foreign policy within the Caribbean, using these insights to analyze the effects of Beijing’s increased engagement within the region. This essay will argue that Beijing has sought to create close ties with a number of Caribbean states by launching a slew of generous development assistance projects, attaching conditionalities to these projects to effectively incorporate partner states into their export and ideological network. China views the Caribbean as a valuable political partner, as its proximity to the United States makes its potential alliance with China a prominent counterfactual to Western hegemony. To achieve this argument, I will highlight how China’s Maritime Silk Road Initiative (MSRI) has influenced China’s grand strategy within the Caribbean, as it seeks to incorporate the region into a broader economic network to challenge Western economic systems. I will then highlight how economic considerations influence China’s bilateral relations with a number of resource-rich Caribbean states, investigating the diplomatic approach China has used to increase its access to natural resources in the region. Lastly, this essay will investigate how China’s development assistance based strategy has impacted the Caribbean itself. This will cover both its negative and positive effects on domestic industries, while also exploring how China’s ambitious economic expansion has stoked social discontent in the region.
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 | 0.001 | 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 | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".