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Record W3196447131 · doi:10.1007/s42597-021-00062-4

Arhuaco indigenous women’s memories and the Colombian Truth Commission: methodological gaps and political tensions

2021· article· en· W3196447131 on OpenAlexfundno aff
Juliana González Villamizar, Ángela Santamaría, Dunen Kaneybia Muelas Izquierdo, Laura María Restrepo Acevedo, Paula Cáceres Dueñas

Bibliographic record

VenueZeitschrift für Friedens- und Konfliktforschung · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsnot available
FundersPetroleum Technology Research Centre
KeywordsCommissionIndigenousTransitional justiceIntersectionalityPoliticsCitizen journalismGender studiesEthnic groupSociologyPolitical scienceGovernment (linguistics)Economic JusticeLaw

Abstract

fetched live from OpenAlex

The Truth, Peaceful Coexistence, and Non-Repetition Commission (CEV) is one of the transitional justice mechanisms contained in the peace agreement signed between the Colombian government and the Revolutionary Armed Forces of Colombia (FARC) guerrilla in 2016. The CEV mainstreams gender and ethnic differential approaches and is also the first to actively deploy intersectionality as a framework to approach violence committed against women of ethnic groups. The article draws on a decolonial and intercultural perspective to analyze the challenges that the CEV faces to make visible Indigenous women's experiences and agencies during the armed conflict. Based on participatory research conducted with Arhuaco women of the Sierra Nevada de Santa Marta to produce a report to the CEV, the article shows the methodological gaps that exist between Arhuaco women's approaches to memory and the Truth Commission's methodological framework. The article also argues that the Commission's strategy to confront political dynamics within Indigenous communities that marginalize women's processes further deepens these gaps and contributes to invisibilize their voices in this scenario.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.051
GPT teacher head0.382
Teacher spread0.331 · 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 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

Citations14
Published2021
Admission routes1
Has abstractyes

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