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Record W3155630670 · doi:10.4000/vertigo.29783

Conflits halieutiques en mer de Chine du Sud : impacts sur la gouvernance maritime

2021· article· fr· W3155630670 on OpenAlexvenueno aff
Éric Frécon

Bibliographic record

VenueVertigO · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicChina's Global Influence and Migration
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’Asie du Sud-est et la Chine font face à une baisse des stocks de poissons alors que la ressource halieutique constitue le principal apport en protéines des populations riveraines. C’est dans ce contexte que la pêche illégale se développe. Celle-ci pose aussitôt la question de la gouvernance pour tenter de réguler ce fléau, tandis que grandes et petites puissances se font concurrence dans la zone (disputes territoriales, luttes d’influence autour des normes, etc.), à l’échelle aussi bien locale, régionale que supra-régionale. Les relations internationales proposent deux grilles de lectures susceptibles de démêler les enjeux. Celle réaliste met en lumière les intérêts parfois cachés derrière la lutte contre la pêche illégale et le recours au rapport de force, essentiellement bilatéral, comme en Indonésie ou en Chine – en écho à l’idée de « sécuritisation » développée par Barry Buzan. Néanmoins, à travers l’action conjuguée, par le bas, d’acteurs multilatéraux et souvent non étatiques, spécialisés plutôt que généralistes, une approche plus libérale, fondée sur la coopération, pourrait progressivement émerger. Il est temps puisque déjà d’autres fléaux risquent de porter atteinte à la « sécurité humaine » des populations, telle que définie par les Nations unies dès 1994.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.283
Teacher spread0.273 · 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 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
Published2021
Admission routes1
Has abstractyes

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