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Record W7135579267

The so-called Magnitsky Laws from the Perspective of International Law

2023· dissertation· cs· W7135579267 on OpenAlexaboutno aff
Pavel Tydlitát

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2023
Typedissertation
Languagecs
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsEntitlement (fair division)LegislationInternational lawContext (archaeology)Perspective (graphical)Government (linguistics)Conflict of laws
DOInot available

Abstract

fetched live from OpenAlex

The so-called Magnitsky Laws from the Perspective of International Law Abstract This diploma thesis treats the phenomenon of so-called Magnitsky acts, a subtype of targeted international sanctions, from the point of view of international law. The text of the thesis is structured into three chapters. The first chapter deals with the origins of Magnitsky acts. Documented are the circumstances of the incarceration and death of Sergey Magnitsky. Described are the origins of the first Magnitsky Acts, i.e., the U.S. Magnitsky Act and Global Magnitsky Act, and the spreading of analogous norms around the world. The second chapter is a survey and legal comparison of selected legislation - in the United States, Canada, European Union, and Czech Republic. Based on the literature and the individual norms, the features common to all Magnitsky acts are determined. Subsequently, the acts are compared using five criteria. These are sanction aspects, as a definition of the prosecuted behavior; creation of the sanctions list, as an entitlement of the government agencies to create such lists; individual sanctions tools; appeals and remedies in the sanctions process, or removal from the sanction list; the overview of the sanctioned entities. The third chapter discusses the nature of the Magnitsky acts in the context of...

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicEconomic Sanctions and International RelationsFrench-language works237,207