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Record W2902432885 · doi:10.1111/plar.12267

The Rise and Irrelevance of the State: Political Views from a Peasant Community of the 2016 Peruvian Presidential Election

2018· article· en· W2902432885 on OpenAlexaff
Susan Vincent

Bibliographic record

VenuePoLAR Political and Legal Anthropology Review · 2018
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPeasantPoliticsLivelihoodPresidential electionState (computer science)PrecarityPolitical scienceCivil societyPresidential systemPolitical economyDevelopment economicsEconomic growthEconomicsAgricultureMarket economyGeography

Abstract

fetched live from OpenAlex

Abstract This case study of a peasant community in the Peruvian central highlands examines how vibrant political engagement in the 1970s became indifference during the 2016 Peruvian presidential election. It focuses on changing livelihood activities over the past three decades. Thirty years ago, community incomes were based on farming and wage labor, and community members were activists in worker–peasant organizations to achieve better market and work conditions. Now, small‐scale agriculture and formal employment have declined and livelihoods are precarious. The state addresses this through decentralized spending and cash transfers. Despite this unprecedented state support, the community had no interest in the 2016 national election. Instead, their attention was focused on the municipality, which delivers the new funds in Peru's decentralized government system. Rather than leveraging job and income creation, these funds condemn the people to ongoing precarity because the state has avoided the structural changes that would create viable jobs and markets for their products. These concerns find no organized political expression, as recent analysis of Peruvian politics reveals a weak party system and fragmented civil society. This situation poses significant challenges to political organizations that would seek more equitable structural transformations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.906
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.280
Teacher spread0.264 · 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 teacher head, not a consensus.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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