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The Landless Rural Workers’ Movement (MST) and the Struggle for Agrarian Reform in Brazil

2024· reference-entry· en· W4402612444 on OpenAlexaff
Wilder Robles

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsBrandon University
Fundersnot available
KeywordsAgrarian reformAgrarian societyMovement (music)Political scienceGeographyAgricultureArchaeologyArt

Abstract

fetched live from OpenAlex

Abstract The Movimento dos Trabalhadores Rurais Sem Terra, or Landless Rural Workers’ Movement (MST) is presently one of the largest, best organized, and most influential social movements in Latin America. The MST is one of the key founders of the Via Campesina, or Peasant Way, a global peasant movement dedicated to the struggle for agrarian reform. The MST is well known for linking both political and economic activism to contest authoritarian power structures in the Brazilian countryside. Agrarian reform is one of the most important objectives in this process. Since its formation in 1984, the MST has maintained the view that agrarian reform is fundamental to reversing Brazil’s long history of systemic marginalization of peasants and Indigenous people. Colonialism left a sad historical legacy of extreme concentration of land in the hands of a privileged few, and this situation has not changed. Brazil’s agrarian structure is controlled by a small minority that continue to promote a large-scale export-oriented agricultural economy. Currently, Brazil is the fourth largest agricultural economy in the world, exporting a high volume of diverse agricultural products such as soybean, beef, sugarcane, citrus fruit, and poultry to global markets. Yet, the intensive expansion of this export-oriented agricultural economy has caused immense human suffering and environmental destruction. These challenges have prompted the MST to propose a new vision of agrarian reform that integrates political and economic activism. Without comprehensive agrarian reform, Brazil will continue to be an inequitable society.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.292
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.013
GPT teacher head0.225
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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