After the protests and the pandemic: Reassessing the international profile of post-Castro Cuba
Bibliographic record
Abstract
As Cuba enters 2022, economic crisis and social tensions loom large. This chapter reviews the external difficulties that interact with and reinforce the island's domestic issues. Looking beyond the immediate situation it reflects on underlying international pressures and constraints that will shape the options for the Cuban nation over the next decade. Its analysis encompasses Cuba's relations with the US and with the EU, as well as those with Venezuela, Mexico, China, Russia and Canada, and it asks to what extent Cuban-made COVID-19 vaccines can re-boost the country's soft-power projection. Putting the Cuban case in comparative perspective, the island’s regime - and its international profile - are in many ways still unlike any other, and predictive schemas based on false analogies risk being misleading.
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 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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.024 | 0.037 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.024 | 0.009 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".