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Record W4404467494 · doi:10.19092/reed.v11.760

Entre vozes e silêncios

2024· article· en· W4404467494 on OpenAlexaff
Edwin Rubio Medina, Luisa Fernanda Castaneda Quintana

Bibliographic record

VenueRevista de Estudos Empíricos em Direito · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The field of legal anthropology has widely debated Indigenous Peoples’ justice practices. However, the legal perspective of sexual offenses remains understudied. In this respect, this paper depicts the Arhuaco people's justice system, from the spiritual and political entities to the procedure, and sanctions, touching upon how the homogenized society influences Indigenous People’s justice in Arhuaco society. Furthermore, this work explores how the Arhuaco people resolve cases in which community members are allegedly responsible for committing sexual crimes. It also highlights some challenges connected to raising this type of offense and its lack of trust in authorities, disregard for the victim's version, and the difficulty of verifying these cases. During the fieldwork in the Arhuaco territory, the applied method follows some parameters of the procedural paradigm-legal conscience studies as an interpretive framework to understand how the Arhuaco women conceive the legal phenomenon. As a result, this study offers some insights into the Arhuaco women's perceptions of justice, specifically concerning sexual abuse cases. Such a perception is analyzed based on the Arhuaco women's political position, cultural and lineage origin, illustrating how they constantly go through inter-legality practices to claim justice for sexual offenses.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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