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¿Una nueva guerra fría por otros medios? Las derivaciones del caso Skripal

2019· article· es· W2939878088 on OpenAlexfundno aff
Ricardo Arredondo

Bibliographic record

VenueAnuario Mexicano de Derecho Internacional · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicEmployment, Labor, and Gender Studies
Canadian institutionsnot available
FundersUniversidad Nacional Autónoma de MéxicoGovernment of the United KingdomUniversity of OxfordMcMaster University
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.023
GPT teacher head0.327
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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