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Record W2508750856 · doi:10.1017/cyl.2016.5

Revisiting the Right of Self-Defence against Non-State Armed Entities

2016· article· en· W2508750856 on OpenAlexvenueno aff
Ielbo Marcus Lobo de Souza

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)NormativeAccountabilityPolitical scienceInternational lawLaw and economicsLawPublic relationsPsychologyComputer securitySociologyComputer science

Abstract

fetched live from OpenAlex

Abstract This article explores and appraises international legal developments regarding the right to self-defence against vicarious aggression — that is, armed attacks by non-state entities that are sponsored or hosted by a foreign state. Despite efforts to develop a normative framework and mechanisms of accountability to curb states’ use of non-state entities as proxies for armed activity, some states continue to view these entities as valuable tools for the realization of their foreign policy goals. Consequently, international practice shows general recognition of a right of self-defence against non-state armed entities. There is also an emerging body of authoritative opinion, backed by an evolving state practice, that supports the extension of the application of this right against a non-state entity’s host or sponsoring state, provided some conditions are met.

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 categoriesInsufficient payload (model declined to judge)
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 score0.838
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.226
Teacher spread0.220 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

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