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Responsabilidad empresarial por violaciones de derechos humanos contra poblaciones rurales durante la dictadura cívico-militar en Brasil (1964-1985): ¿Qué nos enseña el caso de la empresa Josapar?

2025· article· W4415440120 on OpenAlexaff
Alessandra Gasparotto, E. U. P. Galvão, Gabriel Da-Silva-Teixeira, Graciela Bonassa-Garcia, Halyme Ray Franco-Antunes, Leonilde Sérvolo de Medeiros, Fabrício Teló, Regina Coelly Fernandes Saraiva

Bibliographic record

VenueRevista Austral de Ciencias Sociales · 2025
Typearticle
Language
FieldSocial Sciences
TopicBrazilian cultural history and politics
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsDerechoDemocratic legitimacyConstitutional court

Abstract

fetched live from OpenAlex

En este artículo, buscaremos presentar un breve resumen sobre las violaciones de derechos humanos que ocurrieron durante la dictadura cívico-militar brasileña y que afectaron a las poblaciones rurales, a partir del trabajo realizado por la Comisión Campesina de la Verdad de Brasil. Buscaremos enfatizar aspectos relacionados con la responsabilidad empresarial por dichas violaciones, bien como la complicidad entre empresas y cuerpos represores. Específicamente, investigamos la responsabilidad de las empresas del grupo Joaquim Oliveira S. A. (Josapar) en la violación de los derechos de los campesinos en un conflicto por la tierra en Amazonía brasileña, entre 1981 y 1985. Esta investigación formó parte del Proyecto “La responsabilidad de las empresas por violaciones de derechos durante la dictadura”, coordinado por CAAF/UNIFESP. Este es un proyecto pionero en Brasil, ya que poco se ha dicho sobre la responsabilidad de las empresas en el golpe de 1964 y durante toda la dictadura.

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)0.007
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0060.010
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.353
Teacher spread0.326 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRevista Austral de Ciencias SocialesSame topicBrazilian cultural history and politicsFrench-language works237,207