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Record W2015820990 · doi:10.7202/043719ar

Le déclin des déclarations d'acceptation de la juridiction obligatoire de la Cour internationale de justice

2005· article· fr· W2015820990 on OpenAlexaffvenue
Fakhri Gharbi

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Dans le présent article, l'auteur cherche à dévoiler l'aspect pratique des déclarations d'acceptation de la juridiction obligatoire de la Cour internationale de justice (CIJ). En effet, le consentement unilatéralement établi dans les déclarations d'acceptation a engendré, dans la pratique, des controverses doctrinales et jurisprudentielles soit sur la nature juridique des déclarations, soit sur leur champ opératoire. Eu égard à l'utilisation large des réserves, les déclarations d'acceptation de la juridiction obligatoire de la CIJ deviennent des déclarations conditionnées, dans lesquelles les États étendent leur jalousie à leur souveraineté et à leurs intérêts. L'auteur pense que la contradiction entre la jalousie des États relativement à leur souveraineté et la jalousie de la CIJ à l'égard de sa compétence engendre la désaffection des États à l'égard des déclarations d'acceptation. Les États manifestent une persévérance à éluder leurs obligations. L'auteur estime que la déclaration d'acceptation est la voie la plus attractive qui concrétise la méfiance des États envers le juge international. En vue d'améliorer le système des déclarations d'acceptation facultative de la CIJ, l'auteur propose trois remèdes qui lui semblent possibles : un remède provisoire, un remède mitigé et un remède idéal.

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)0.021
metaresearch head score (Gemma)0.043
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 score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0080.013
Scholarly communication0.0130.006
Open science0.0020.008
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0080.002

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 head0.011
GPT teacher head0.289
Teacher spread0.278 · 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

Citations1
Published2005
Admission routes2
Has abstractyes

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