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Record W3214880946 · doi:10.26443/glsars.v1i1.145

Extraterritorial Sanctions, Transnational Corporate Activity, and State’s Duty to Protect

2021· article· en· W3214880946 on OpenAlexaff
Bahareh Jafarian

Bibliographic record

VenueMcGill GLSA Research Series · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSanctionsExtraterritorialityHuman rightsDutyPolitical scienceInternational lawLawLaw and economicsInternational human rights lawContext (archaeology)Economic sanctionsState (computer science)Principal (computer security)BusinessEconomicsComputer securityJurisdiction

Abstract

fetched live from OpenAlex

Unilateral (extraterritorial) economic sanctions, that are often imposed on states and non-state actors by another state, are incompatible with international human rights law. Major powers use their dominant positions in the global economy to attempt influence the political behaviour of states by imposing economic measures against them. Nevertheless, the principal Business and Human Rights instruments as well as other International Law instruments do not address extraterritorial sanctions and their negative impacts on the operation of foreign business entities and the consequent human rights violations. These sanctions threaten a wide range of rights and freedoms enshrined in international human rights law and cause irreparable collateral damage. This paper is a critical inquiry into the relationship between extraterritorial sanctions, their negative impacts on the operation of the business entities in sanctioned state, and sender state’s extraterritorial human rights obligations. In order to answer this question, the paper will explore state’s duty to protect in more details in the context of imposition of extraterritorial sanctions.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.144
GPT teacher head0.404
Teacher spread0.259 · 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
Published2021
Admission routes1
Has abstractyes

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