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Do Rio Grande à terra do fogo: Um estudo sobre a comunidade de estados latino-americanos e caribenhos (CELAC)

2019· dissertation· pt· W2975819572 on OpenAlexaboutno aff
Francisco Denes Pereira

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansAutonomyPolitical scienceRegional organizationPoliticsSovereigntyRegionalism (politics)Context (archaeology)DiplomacyGeographyPublic administrationLaw

Abstract

fetched live from OpenAlex

The present research proposes to carry out an investigation on the Latin American integration process in the present time, focusing on the role and action in the architecture of international organizations of the region.CELAC is a regional international organization founded in the year 2011, composed of 33 countries and designed by diplomacy in Brazil and Mexico.It has a low institutional structure and a broad historical legacy of political concertation, inherited from previous groups and organizations, such as the Group of Rio.Having as one of its objectives the search for autonomy and sovereignty, without the presence of the United States and Canada.The new organization is born in a context of new economic and social political alliances in Latin America, also justified by the need to face the international economic and financial crisis.With the detailed study of its creation and evolution, we seek to understand the main challenges that this new organism faces to fulfill its objectives; From its capacity to respond to the main regional issues, as well as the challenge of living with the traditional leadership in the inter-American space, represented by the Organization of American States (OAS), as well as its capacity to establish itself as a unified forum of representation in International system.To this end, we have appropriated conceptual categories such as "Regionalism" and "Political Concertation" that are relevant to clarify our inquiries in the present investigation, trying to understand if such a process is capable of responding to a new stage of regional integration that surpasses the called "Open Regionalism" of the 1990s.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.339
Teacher spread0.319 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same topicInternational Relations in Latin AmericaFrench-language works237,207