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Record W4387010073 · doi:10.19181/smtp.2023.5.3.7

US and Canadian Sanctions Against the Russian Federation in the Field of International Scientific Cooperation: Political and Legal Analysis

2023· article· en· W4387010073 on OpenAlexaboutno aff
Anton Vasiliev, Andrei Serebriakov

Bibliographic record

VenueScience management theory and practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Science and Diplomacy
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsSanctionsDiplomacyPolitical sciencePoliticsInternational lawLawLaw and economicsEconomic sanctionsInternational relationsField (mathematics)Sociology

Abstract

fetched live from OpenAlex

The article provides a political and legal analysis of the US and Canadian sanctions against the Russian Federation in the field of international scientific cooperation. The classification of sanctions in the field of S&T cooperation is given. It is noted that by their nature, such sanctions threaten not only the national security and the level of technological development of Russia, but also significantly limit the universal tasks of solving global problems. Obviously, in the concept of open science and global interdependence, any scientific sanctions have a boomerang effect, since they limit not only Russia, but also other states, scientists, academic and educational organizations in cooperation to solve common problems. The authors draw the following conclusions: these sanctions do not have sufficient legal grounds; the consequences of their application are not normatively defined, so the gap in this part can be resolved on the basis of both the general principles of international law and by fixing in international agreements the consequences of a unilateral refusal to fulfill obligations (compensation for losses caused, distribution of risks and financial obligations); sanctions of this kind should not apply to individual scientists, since the channels of scientific communication act as an element of soft power and contribute to the removal of political differences (scientific diplomacy); the desire of the Russian authorities under the sanctions to diversify scientific and technical ties with other states of Asia, Africa, and Latin America is completely justified.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.005
Science and technology studies0.0190.006
Scholarly communication0.0080.001
Open science0.0010.002
Research integrity0.0030.003
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 head0.019
GPT teacher head0.386
Teacher spread0.367 · 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.

Study designTheoretical or conceptual
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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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