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Record W2526491206 · doi:10.7202/1068961ar

À QUI APPARTIENNENT LES ICEBERGS ? DISCUSSION AUTOUR DU STATUT DES ICEBERGS EN DROIT INTERNATIONAL PUBLIC

2020· article· fr· W2526491206 on OpenAlexvenueno aff
Fabienne Quilleré-Majzoub

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les pénuries d’eau nous rappellent que les glaces polaires constituent le plus grand réservoir d’eau douce de la planète. Sous forme d’icebergs, elles représentent plus d’eau douce que la production annuelle cumulée de toutes les rivières du globe. Les icebergs présentent donc des potentialités énormes de production d’eau douce. À défaut d’un statut spécifique, les conditions de leur exploitation sont établies par la Convention de Montego Bay sur le droit de la mer. Ils font ainsi l’objet d’une liberté d’exploitation au profit de tous dans la haute mer, et dans le respect des droits souverains des États côtiers, soit dans la mer territoriale ou dans la zone économique exclusive. Contrairement à l’Arctique également soumis à ce régime, l’Antarctique exclut toute exploitation pour l’instant, en vertu du Système des Traités de l’Antarctique. Cette assimilation des icebergs aux eaux dans lesquelles ils dérivent entraîne une absence de continuité de leur prise en compte. Les propositions actuelles d’unification de leur statut ne sont pas satisfaisantes et le droit international ne propose pas de solution transposable en l’état. Aussi, est-il nécessaire de définir les pistes les plus praticables pouvant conduire à une solution suffisamment consensuelle pour faire l’objet d’un futur statut possible.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.174
Threshold uncertainty score0.346

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0030.006
Scholarly communication0.0090.006
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.030
GPT teacher head0.282
Teacher spread0.253 · 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
Published2020
Admission routes1
Has abstractyes

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