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Record W2620790604 · doi:10.5539/jpl.v10n3p158

Investigating Some Cases on Executive Immunity of States

2017· article· en· W2620790604 on OpenAlexvenueno aff
Keyvan Daryabeigi Balvardi

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSovereign immunityPolitical scienceLawState (computer science)Context (archaeology)SovereigntyState immunityGovernment (linguistics)International lawLaw and economicsPoliticsSociologyConstitution

Abstract

fetched live from OpenAlex

Immunity from execution means that the criminal court verdict against a natural person who is resident in the country as a foreign government’s representative is not enforceable. Its philosophy is the good performance of diplomatic missions and compliance with the general principle of the sovereignty of states whereby no state should be judged by another state or another state’s laws are applied to it. Despite some views that under certain circumstances and with certain existential context continue to invoke the immunity, there is no doubt that the dominant approach of courts in civilized societies is to accept the immunity of property and governing activities of states and to reject their immunity about their possessive properties and activities. Here we review some proceedings which can clearly demonstrate through argumentative and legal bases that the sovereignty of the politics over the law and justice is already over.The following cases will be examined in this study: Swiss company NOGA vs. Russian Federation, the US company Creighton vs. the State of Qatar, Swiss company Ektimon vs. the Government of the Socialist Republic of Libya, and the Central Bank of Iran vs. Peterson.

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)0.006
metaresearch head score (Gemma)0.014
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0130.012
Scholarly communication0.0080.006
Open science0.0020.005
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0070.000

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 head0.047
GPT teacher head0.350
Teacher spread0.303 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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