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Record W2990608849 · doi:10.5539/jpl.v12n4p15

Brazil and South Africa: The Weak Links of the BRICS?

2019· article· en· W2990608849 on OpenAlexvenueno aff
Agonnoude Bidoley Vianney Freddy, Adohounde Yaovi Sylvestre, Stepanov Sergey Aleksandrovich

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringHegemonyContext (archaeology)IdeologyPoliticsEmerging marketsPolitical scienceMultitudeForeign policyState (computer science)Political economyOrder (exchange)Development economicsEconomyEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

As the central role of the state in international relations is challenged, many new actors are emerging on the world stage. Today, there are a multitude of international organizations or groups of countries with considerable influence. Among the latter, the BRICS are drawing increasing attention with greater economic and political weight. Calling for the need to build a multipolar world, the ideological approach of the group of five dynamic world economies is intended to unite in a world marked by Western hegemony. It is important to note, however, that the five countries that make up the BRICS have their own specificities, which differentiates them from one another. Apart from the ideological constant that undeniably unites them, the BRICS are above all five distinct economies, five political systems, five foreign policies, to name but a few factors. The author uses a number of criteria to analyze the place of Brazil and South Africa in the BRICS. Referring to the weaknesses of these two countries, the author pays a close attention to their foreign policy approach in the context of BRICS' restructuring of the world order, as well as to the political scandals identified in the last decade at the top of these two countries.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.298
Teacher spread0.284 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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