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Record W3084171923 · doi:10.5038/1911-9933.14.2.1642

Rwanda’s Inyangamugayo: Perspectives from Practitioners in the Gacaca Transitional Justice Mechanism

2020· article· en· W3084171923 on OpenAlexvenueno aff
Jean-Damascène Gasanabo, Donatien Nikuze, Hollie Nyseth Brehm, Hannah Parks

Bibliographic record

VenueGenocide Studies and Prevention · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
FundersOhio State UniversityStyrelsen för Internationellt Utvecklingssamarbete
KeywordsTransitional justiceImpunityScholarshipAccountabilityEconomic JusticeCriminologyRestorative justicePolitical sciencePunishment (psychology)Subject (documents)SociologyLawPerceptionHuman rightsSocial psychologyPsychology

Abstract

fetched live from OpenAlex

The Gacaca courts have been the subject of much academic work. Yet, few studies have examined the elected individuals who presided over Gacaca court trials, reflecting a broader paucity of research on local practitioners of transitional justice . Accordingly, this study asks two questions: (1) How did the Gacaca court judges, known as Inyangamugayo , perceive their duties to fight impunity and facilitate reconciliation? And (2) What challenges did the Inyangamugayo face as they sought to implement these duties? To address these questions, we interviewed 135 former Inyangamugayo . Our interviews shed light on the Inyangamugayo’s understandings of punishment and accountability, as well as on their perceptions of reconciliation at personal and societal levels. The interviews also illuminate the problems the Inyangamugayo faced while presiding over trials. Taken together, these findings contribute to scholarship on transitional justice pursuits by highlighting the perceptions and experiences of the individuals who implement transitional justice mechanisms.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.077
GPT teacher head0.348
Teacher spread0.271 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2020
Admission routes1
Has abstractyes

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