Mayan Women Survivors Speak: The Gendered Relations of Truth Telling in Postwar Guatemala
Bibliographic record
Abstract
Abstract1 Truth telling in response to massive violations of human rights is a gendered sociopolitical and cultural construction. It is also inherently relational and necessitates multidimensional engagement between state and civil society. Drawing on two years of feminist participatory action research, this article explores the significance of civil society-initiated truth-telling processes in Guatemala, in particular the 2010 Tribunal of Conscience for Women Survivors of Sexual Violence during the Armed Conflict. It seeks to clarify how local, national and transnational webs of relationships, and the speech acts and silences they simultaneously engender, inform processes of transformation from victim to survivor, or reinforce or reify victimization. The article examines the conditions under which indigenous women whose identities are deeply situated within local Mayan communities can narrate truth outside of those contexts, how the multiple spectators who are on the receiving end of those processes relate to ‘the pain of others’ and implications for future truth-telling processes.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".