¿Una nueva guerra fría por otros medios? Las derivaciones del caso Skripal
Bibliographic record
Abstract
Este trabajo analiza las expulsiones recíprocas de diplomáticos entre Estados Unidos, Rusia y otros países occidentales con motivo de la intoxicación de un ex espía ruso, Sergei Skripal, y su hija,Yulia, ocurrida en el Reino Unido. Este tit for tat responde a un viejo patrón de conducta entre las potencias cuyo marco jurídico viene proporcionado, principal pero no exclusivamente, por las Convenciones de Viena sobre Relaciones Diplomáticas de 1961 y sobre Relaciones Consulares de 1963. Estas normas recogen los principios de consentimiento mutuo y de reciprocidad que gobiernan las relaciones diplomáticas y consulares entre Estados y establecen un régimen propio de normas secundarias para resolver los casos en que sus normas primarias son quebrantadas.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".