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Record W2755052596 · doi:10.1111/laps.12032

From Middle Powers to Entrepreneurial Powers in World Politics: Brazil’s Successes and Failures in International Crises

2017· article· en· W2755052596 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLatin American Politics and Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsAgency (philosophy)Position (finance)Power (physics)PoliticsForeign policyHard powerPolitical scienceEconomic systemPolitical economyEconomicsSociologySocial scienceFinanceLaw

Abstract

fetched live from OpenAlex

Abstract This article uses the concept of entrepreneurial powers to discuss how and under what circumstances Brazil successfully accomplishes its goals in international crises. The concept of entrepreneurial power focuses on systematic evidence of middle-power behavior and its relation to foreign policy tools. Brazil resorts to three agency-based foreign policy tools that are the substance of its entrepreneurial power. These instruments are always mediated by a structural condition, the dominant power pivotal position in the crisis. This study applies qualitative comparative analysis methodology to 32 international crises since the early 1990s in which Brazil played a role. It finds that for regional crises, the use of only one agency-based tool is sufficient for success, regardless of the dominant power position; and for global crises, the use of only one agency-based tool is a necessary and sufficient condition for Brazil to accomplish its goals, despite the dominant power position on the issue.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
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 head0.057
GPT teacher head0.431
Teacher spread0.374 · 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