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Record W1992785733 · doi:10.7202/042389ar

Aspects juridiques de la crise américano-iranienne

2005· article· en· W1992785733 on OpenAlexaffvenue
J.-Maurice Arbour

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceSanctionsSovereigntyLawInternational lawState (computer science)Territorial integrityNegotiationSettlement (finance)Government (linguistics)Order (exchange)CommissionBusinessPolitics

Abstract

fetched live from OpenAlex

From the first day the American Embassy was invaded and its diplomatic staff was seized as hostages by Iran, the United States of America has pursued every legal channel in order to resolve this crisis by peaceful means. Its efforts started with the immediate dispatch of Mr. Ramsey Clark on a mission to negotiate with the government of Iran and were continued in the United Nations through the Secretary General, the Security Council, the U.N. Commission of Inquiry and the World Court. Though one can say that all disputes may theoretically be capable of settlement according to rules of law, it should also be said, as a matter of fact, that international law often has only limited relevance to disputes arising among States. This is so because international legal rules operate within a system which has no general scheme of sanctions and no central organ for the enforcement of international legal rights. States have traditionally utilized coercitive measures short of war in attempting to prevail in disputes with other States. Does this authorize a State to intervene by the use of force for the protection of its nationals abroad ? Even though, from the standpoint of morality, the abortive U.S. rescue operation in Iran may have had sound justifications, any legal justifications that could be put up had to give way before the principle of territorial sovereignty.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.273
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2005
Admission routes2
Has abstractyes

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