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Record W2072147433 · doi:10.4000/netcom.495

La surveillance maritime en Méditerranée

2010· article· fr· W2072147433 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNetcom · 2010
Typearticle
Languagefr
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Dans un bassin maritime stratégique comme celui de la Méditerranée, bassin fragile, inégal et géopolitiquement explosif, il reste crucial pour les Etats riverains d’établir une surveillance des activités légales et illégales. Nous avons sélectionné ce bassin maritime comme terrain d’analyse de notre recherche qui repose sur l’étude des grands projets européens dédiés à la surveillance maritime. Ce travail vise d’abord à proposer un état de l’art : il cherche à établir une synthèse des services proposés par les grands industriels travaillant sur les marchés civils et militaires et à évaluer dans quelle mesure il serait possible d’améliorer et de compléter les technologies existantes. Il a aussi pour objectif d’évaluer les informations recueillies via une image satellitale par l’établissement d’un historique des outils d’observation utilisés pour la surveillance maritime avec leurs caractéristiques, leurs avantages et inconvénients.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.550
Threshold uncertainty score0.984

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0860.017

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 head0.237
Teacher spread0.232 · 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