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Record W2773952434 · doi:10.3917/eufor.381.0103

Brazil – European Union Partnership: from high expectations to limited results

2017· article· fr· W2773952434 on OpenAlexaff
Sébastian Santander, Míriam Gomes Saraiva

Bibliographic record

Venue˜L'œEurope en formation · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceEuropean unionHumanitiesBusinessPhilosophyInternational trade

Abstract

fetched live from OpenAlex

Depuis les années 1990, l’UE déploie une stratégie de rapprochement avec l’Amérique latine qui donne la priorité aux relations avec des groupes régionaux. De son côté le Brésil développait des relations avec l’UE à partir, notamment, du Mercosur. Ceci étant, lors de ces dernières années, l’UE a cherché à intensifier ses relations individuelles avec des pays dits “émergents”. Pour sa part, le Brésil a cherché à développer un canal de relations directes et régulières avec l’UE. Le présent article s’intéresse à comprendre ces différents changements stratégiques qui ont mené l’UE et le Brésil à développer leur “partenariat stratégique” ainsi qu’à faire une évaluation des résultats atteint par ce dernier.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.013

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 head0.032
GPT teacher head0.339
Teacher spread0.307 · 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.

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
Published2017
Admission routes1
Has abstractyes

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