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Record W3196052804

Las elites agrarias en la sociedad latinoamericana: concentración de la tierra y poder político

2021· article· es· W3196052804 on OpenAlexaff
Liisa Lukkari North

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsYork University
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

El presente articulo es una panoramica de los impactos del ejercicio de poder por las elites agrarias en las sociedades latinoamericanas. Las estructuras basicas del poder politico y economico han permanecido estables desde la colonizacion, por lo que las elites rurales latinoamericanas, junto con sus “parientes” urbanos y sus aliados internacionales, han logrado bloquear reformas fundamentales y necesarias de redistribucion de la tierra y de otros bienes rurales, hasta el dia de hoy. Inicialmente, el ensayo enfatiza las continuidades del poder de las clases terratenientes y las consecuencias de su dominacion. En un segundo momento, responde a la pregunta de por que son importantes los procesos rurales y agrarios en America Latina, la region mas urbanizada del mundo. Enseguida se resumen algunas investigaciones sobre elites terratenientes y compara America Latina con el sud este asiatico, destacando las razones para el apoyo que los EEUU prestaron a las reformas agrarias profundas y comprehensivas en Japon, Korea del Sur, y Taiwan despues de la Segunda Guerra Mundial. Estas reformas profundas e igualitarias jugaron un rol critico en sentar las bases para el desarrollo nacional y la diversificacion industrial que experimentaron estos paises asiaticos en contraste con lo que paso en America Latina

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.246
Teacher spread0.238 · 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 designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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