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Record W2153349503 · doi:10.1177/136346150003700304

Mourning and Recovery from Trauma: In Rwanda, Tears Flow Within

2000· article· en· W2153349503 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

VenueTranscultural Psychiatry · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsMontreal Children's Hospital
Fundersnot available
KeywordsGriefGenocidePsychologyContext (archaeology)Intervention (counseling)Face (sociological concept)Traumatic griefPsychotherapistCriminologyPsychoanalysisSocial psychologySociologyHistoryPsychiatryPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

This article is a personal testimony of the great suffering experienced by thousands of Rwandan parents on learning of the killing of their children in the 1994 Rwandan genocide. In the face of the unprecedented social cataclysm that led my eldest son to his death, my intent is to demonstrate the necessity of resituating ideas about grief and trauma in a framework that is coherent with Rwandan culture. This is essential if one wishes to help Rwandans find words for their fears, hopes and questions about the loss of loved ones in the context of extreme violence. By discussing the intervention offered by my mother, I address the approach used in Rwandan tradition as a response to and therapeutic tool for extreme grief and trauma.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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