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Record W3156448134 · doi:10.4000/vertigo.29603

Bateaux, plateaux, arsenaux : quels enjeux géopolitiques dans un Arctique en mutation ?

2021· article· fr· W3156448134 on OpenAlexaffvenueabout
Frédèric Lasserre

Bibliographic record

VenueVertigO · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversité LavalCentre de Géomatique du Québec
Fundersnot available
KeywordsHumanitiesForestryGeographyArt

Abstract

fetched live from OpenAlex

Trois grandes controverses, bien différentes, opposent les pays de l’Arctique. Tout d’abord se pose la question du statut des routes maritimes potentielles des Passages du Nord-ouest et du Nord-est, alors que des scénarios y prévoient un accroissement de la navigation. Ensuite se pose la question de l’extension de la souveraineté économique sur les plateaux continentaux, au-delà de la ligne des 200 miles marins, et des litiges frontaliers que les chevauchements pourraient susciter. Enfin, alimentées par le souci des États arctiques d’asseoir leur contrôle sur les espaces maritimes qui se libèrent des glaces, les politiques de sécurisation que plusieurs d’entre eux mènent apparaissent parfois comme une militarisation de l’Arctique, en particulier pour la Russie et, un temps, pour le Canada. Ces trois controverses diffèrent tant de par les enjeux que du fait de jeux d’alliances changeants. Mais ces phénomènes traduisent-ils réellement un emballement des enjeux géopolitiques pour l’Arctique ?

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.024
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.312
Teacher spread0.287 · 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 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

Citations2
Published2021
Admission routes3
Has abstractyes

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Same venueVertigOSame topicArctic and Russian Policy StudiesFrench-language works237,207