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Record W4414601831 · doi:10.7202/1120077ar

L’intégration de la Russie sur les marchés internationaux d’hydrocarbures

2024· article· fr· W4414601831 on OpenAlexvenueno aff
Sylvain Rossiaud, Catherine Locatelli

Bibliographic record

VenueÉtudes internationales · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsnot available
Fundersnot available
KeywordsScapegoatSpanish Civil WarFirst world war

Abstract

fetched live from OpenAlex

Depuis 1990, la Russie a été un acteur important du projet de mondialisation du marché pétrolier et du marché gazier. Exportatrice majeure, elle a progressivement dessiné une réforme de ses industries d’hydrocarbures lui permettant tout à la fois de maintenir cette position, mais aussi d’influer sur la dynamique de la concurrence internationale. Toutefois, la guerre en Ukraine modifie en profondeur les modalités d’intégration de la Russie sur ces marchés internationaux – jusqu’à modifier son rôle mais aussi les caractéristiques mêmes de sa réforme ? On commence à percevoir les implications pour les marchés internationaux des nouveaux rapports énergétiques internationaux nés de la guerre en Ukraine. Et celles-ci s’avèrent déjà fortement différenciées pour le pétrole et le gaz.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.326
Teacher spread0.298 · 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
Published2024
Admission routes1
Has abstractyes

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