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Record W2166824780 · doi:10.1177/1350506814547057

Women’s testimony and collective memory: Lessons from South Africa’s TRC and Rwanda’s <i>gacaca</i> courts

2014· article· en· W2166824780 on OpenAlex
Nicole Ephgrave

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

VenueEuropean Journal of Women s Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsTransitional justiceAgency (philosophy)NarrativeEconomic JusticeSubject (documents)CommissionRestorative justiceGender justiceSpace (punctuation)Political scienceHuman rightsCollective memoryLawSociologyGender studiesCriminologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

This article uses a comparative approach to elucidate the ways in which women’s testimony operated in South Africa’s Truth and Reconciliation Commission (TRC) and in Rwanda’s gacaca courts, to draw out some important lessons for future mechanisms of transitional justice. The author argues that while restorative justice mechanisms allow more space for including women’s own experiences of human rights violation than conventional trials, they may pose greater danger for those who testify. A significant problem resulting from the narratives of both gacaca and the TRC is the way in which a ‘singular woman victim’ emerges that elides the complexity of women’s experiences in collective memory. It is feared that what has emerged from the official discourse of these two truth-seeking mechanisms is a one-dimensional female victim subject – in South Africa, she is of secondary importance, in Rwanda, she can only be Tutsi, and in both cases she is stripped of all agency, where rape becomes definitive of her experience.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.228
Teacher spread0.173 · 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