MétaCan
Menu
Back to cohort
Record W2018600643 · doi:10.1093/jrs/fej012

Surviving the Slaughter: The Ordeal of a Rwandan Refugee in Zaire. By Marie Béatrice Umutesi. Wisconsin: University of Wisconsin Press, 2004. 258pp. £14.95. ISBN 0 299 204 944 pb.

2006· article· en· W2018600643 on OpenAlex
Kevin M. DeJesus

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

VenueJournal of Refugee Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsYork University
Fundersnot available
KeywordsTrial by ordealRefugeeGenocideCriminologyGender studiesSociologyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

How might we come to know the abasement of daily life to the point where plastic sheeting becomes pivotal to one's existence? In Surviving the Slaughter: The Ordeal of a Rwandan Refugee in Zaire, Umutesi renders the seemingly endless traumas of the Rwandan genocide into a readable testimony of the devastation and resistance of those who fled, often many times over, and the extreme violence, murder, starvation and betrayal that was Rwanda's catastrophe. The impotent response of the international community is depicted by the author as the depth of the mundane, explained beyond the journalistic accounts, academic analyses and human rights reports to provide the reader with a sharp critique of how the mistakes of the international community, aid agencies and intergovernmental organizations further burden destitute, yet resourceful, refugees. Writing as an exile living in Belgium, Umutesi recounts her experiences and those of the people around her through the...

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.272
Teacher spread0.251 · 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