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Record W2749758304 · doi:10.1177/1866802x1700900205

The Hegemony of Representation: Democracy and Indigenous Self-government in Bolivia

2017· article· en· W2749758304 on OpenAlexaff
Jason Tockman

Bibliographic record

VenueJournal of Politics in Latin America · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsDemocracyConstitutionIndigenousHegemonyPoliticsGovernment (linguistics)Public administrationState (computer science)SociologyIndigenous rightsRepresentation (politics)Representative democracyPolitical sciencePolitical economyLawEcology

Abstract

fetched live from OpenAlex

In the Plurinational State of Bolivia, the 2009 Constitution articulates a multidimensional conception of democracy, reflecting a legacy of social movement mobilizations that demanded political inclusion and propelled to power a president who self-identifies as Indigenous. Many anticipated that Bolivia could present a propitious environment for an invigorated and post-liberal democracy. This article evaluates the three dimensions of democracy enshrined in the Constitution – representative, participatory, and communitarian – with the aim of understanding the relationship among them. I focus on two important sites of democratic practice: the process of drafting and approving the Constitution, and the construction of “Indigenous autonomies”; that is, institutions of Indigenous self-government based on communitarian democracy. While Bolivian democracy is more stable and inclusive under the current government than under previous ones, this study finds that the expansion of sanctioned participatory and communitarian democratic processes has been limited vis-à-vis the hegemonic system of representation.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.019
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.347
Teacher spread0.329 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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