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Record W2128156252 · doi:10.1177/1354068810391159

From the ground up: The challenge of indigenous party consolidation in Latin America

2011· article· en· W2128156252 on OpenAlexaff
Roberta Rice

Bibliographic record

VenueParty Politics · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsIndigenousConsolidation (business)Latin AmericansPolitical scienceDemocratic consolidationPoliticsPolitical economySocialismPublic administrationLawDemocracySociologyCommunismEconomicsDemocratization

Abstract

fetched live from OpenAlex

To predict the electoral fate of the new cohort of indigenous-based political parties in Latin America, and the impacts on their respective party systems, we need to understand their prospects for consolidation. The central task of this article is to determine whether indigenous peoples’ parties are developing solid party roots in society or if they are merely benefiting from a protest vote against the system. The study of political party consolidation requires an examination of local level successes and failures. Based on a quantitative analysis of municipal election results in Ecuador (1996—2004) and Bolivia (1999—2004), the author finds mixed support for indigenous party consolidation. Clearly, the governing indigenous-based Movement Toward Socialism (MAS) party in Bolivia has solidified its base of support. Ecuador’s indigenous-based Pachakutik (MUPP) party, however, has lost its support at the national level, though it continues to make impressive gains at the local level. As such, it represents a case of incomplete consolidation.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.078
GPT teacher head0.321
Teacher spread0.243 · 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 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

Citations18
Published2011
Admission routes1
Has abstractyes

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