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Record W2314816386 · doi:10.1093/ijtj/ijr017

Mayan Women Survivors Speak: The Gendered Relations of Truth Telling in Postwar Guatemala

2011· article· en· W2314816386 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Transitional Justice · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsYork University
Fundersnot available
KeywordsSituatedCitizen journalismIndigenousConscienceTribunalSociologyState (computer science)Gender studiesCivil societyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

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.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.298
Teacher spread0.246 · 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