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Record W4389233234 · doi:10.26443/firr.v14i1.153

Different Words, Same Results

2023· article· en· W4389233234 on OpenAlexaffvenue
Isabel Siu-Zmuidzinas

Bibliographic record

VenueFlux International Relations Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPopulismIndigenousRight wingLeft-wing politicsRhetoricPoliticsDemocracyPolitical economyCharismaPower (physics)Civil societyPolitical scienceVotingSociologyConservatismLaw

Abstract

fetched live from OpenAlex

In 2007, Ecuadorians elected Rafael Correa, a left-wing leader who based much of his platform on calls for decolonial reform and the indigenous cosmology of buen vivir. Representing the opposite side of the political spectrum, Brazilians elected right-wing politician Jair Bolsonaro, whose platform included social conservative and anti-environmental rhetoric. Both leaders can be understood as populists, which refers to the phenomena whereby leaders build a multi-class coalition via a personalistic party, have charismatic personalities, and have a redistributive agenda within the existing social bounds. Populism is an ineffective mechanism to address the demands of civil society, which is ultimately detrimental to democracy, as highlighted by the case studies of Ecuador and Brazil. This paper focuses on the impact of populism on one aspect of democracy, the dispersal of power and the limitation of domination by one person or a small group.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.192
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.025

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 head0.044
GPT teacher head0.388
Teacher spread0.343 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes2
Has abstractyes

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