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Record W2067247351 · doi:10.3917/crii.049.0131

Géopolitiques arctiques : pétrole et routes maritimes au cœur des rivalités régionales ?

2010· article· fr· W2067247351 on OpenAlexaff
Frédèric Lasserre

Bibliographic record

VenueCritique internationale · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCentre de Géomatique du Québec
Fundersnot available
KeywordsContext (archaeology)Exclusive economic zoneGeopoliticsSovereigntyPolitical scienceHistoryGeographyPoliticsLawArchaeology

Abstract

fetched live from OpenAlex

Artic Geopolitics : Are Petrol and Maritime Routes at the Heart of Regional Rivalries ? In a context marked by climate change and the accelerated melting of the ice shelf in summer, the media regularly refer to the power games that are presently emerging in the Artic. Some observers speak of a “battle for the far north”, a new “Cold War”, even a “mad scramble” among countries bordering the Artic Ocean to control its riches. Yet, beyond these catastrophic and ultimately unlikely scenarios, two questions today pit the five countries of the Artic against one another : that of the status of the North West and North East passages in the event of increased traffic and that of the extension of economic sovereignty to the continental shelf beyond the 200 maritime mile limit of exclusive economic zones (EEZ). Though they are often conflated in the media, these two questions are very different in terms both of the issues at stake and the shifting alliances to which they give rise in the region. ■

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.092
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.021
Scholarly communication0.0100.004
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.384
Teacher spread0.339 · 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 designQualitative
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

Citations16
Published2010
Admission routes1
Has abstractyes

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