MétaCan
Menu
Back to cohort
Record W2064345412 · doi:10.1353/gsp.2011.0042

A Calamity in the Neighborhood: Women's Participation in the Rwandan Genocide

2007· article· en· W2064345412 on OpenAlexaffvenue
Reva N. Adler, Cyanne E. Loyle, Judith Globerman

Bibliographic record

VenueGenocide Studies and Prevention · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGenocideGender studiesSociologyCriminologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Although public-health-based violence-prevention trials have been successful in a variety of high-risk settings, no study has addressed the prevention of genocide, a form of population-based catastrophic violence. In addition, little is known about women who participate in genocide, including women's motivations for active participation in hands-on battery, assault, or murder. In order to explain why women assaulted or murdered targeted victims during the 1994 Rwandan Genocide, we interviewed ten Rwandan female genocide perpetrators living in prisons and communities in six Rwandan provinces in 2005. Respondents’ narratives reveal two distinct pictures of life in Rwanda, separated by an abrupt transition: Life prior to 6 April 1994 and Life during the 1994 genocide (6 April–15 July 1994). In addition, respondents described four experiential pressures that shaped their choices to participate in the 1994 genocide: (1) a disaster mentality; (2) fear of the new social order; (3) confusion or ambivalence about events on the ground; and (4) consonance and dissonance with gender roles. The unique combination of these factors that motivated each female genocide participant in Rwanda in 1994 would shift and evolve with new situations. These findings may have implications for understanding and preventing catastrophic violence in other high-risk jurisdictions.

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)0.007
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 score0.725
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
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 head0.116
GPT teacher head0.507
Teacher spread0.391 · 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

Citations13
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueGenocide Studies and PreventionSame topicHealth and Conflict StudiesFrench-language works237,207