Arhuaco indigenous women’s memories and the Colombian Truth Commission: methodological gaps and political tensions
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".