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Record W3110782924 · doi:10.1177/1866802x20975036

Are They All the Same? The Distribution of Personal Wealth Between the Left and the Right in Latin America

2020· article· en· W3110782924 on OpenAlex
Nordin Lazreg, Alejandro Ángel, Denis Saint‐Martin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Politics in Latin America · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLatin AmericansIdeologyPoliticsPosition (finance)Distribution (mathematics)Left and rightPolitical economyPolitical scienceSocial capitalSociologyDevelopment economicsEconomicsLawFinance

Abstract

fetched live from OpenAlex

Conventional wisdom indicates that politicians in Latin America are all wealthy. However, the literature on both political elites and social origins of political parties indicates that we should expect differences in the capital accumulation of politicians depending on their ideological position. This study seeks to explore that question using financial disclosure forms made available in six Latin American countries: Argentina, Bolivia, Brazil, Chile, Peru, and the Dominican Republic. We calculate the median wealth of the main political parties in each country and compared them according to their ideological position on the left–right continuum. We consistently find that the most right-leaning party in each country had a higher median wealth than the most left-leaning one. This relation is non-linear since centrist parties often represent anomalies in the distribution of wealth. When there are no ideological differences, we do not observe significant wealth differences either.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.319
Teacher spread0.291 · 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