Medidas de confianza mutua y reacercamiento entre Cuba y los Estados Unidos
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
Mutual trust and security measures between nations (known as CSBM or CBM), have been incorporating a series of procedures whose ultimate purpose is to alleviate tensions and lessen the danger of an armed conflict breaking out as a consequence of a misinterpretation or miscalculation about the maneuvers of a rival state. In the present work, they are situated in the context of the current relations between Cuba and the United States, in order to consider whether it makes sense to seek CBMs that could reduce tension and create a more conducive political environment to improve relations between Havana and Washington. It is also analyzed whether there are no other ways, different from the one defined by these initiatives, to initiate a rapprochement process that future CBMs could later accelerate or consolidate.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it