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Record W106838739 · doi:10.5206/uwoja.v21i1.8934

Mass Graves and the Politics of Reconciliation: Construction of Memorial Sites after the Srebrenica Massacre

2013· article· en· W106838739 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

VenueThe University of Western Ontario Journal of Anthropology · 2013
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumiliationPoliticsHarmony (color)HomelandEthnic groupSociologyCriminologyLawHistoryPolitical scienceArt

Abstract

fetched live from OpenAlex

Burial is an integral part of reconciling with death. In this way, mortuary practices are made for the living; and the manner of death and burials continue to affect the politics of the living. Especially after collective traumatic events such as the Srebrenica massacre, reburials become central to the reconciliation process of the surviving communities. The process of reburial, however, also facilitates the claims that a particular territory is part of a specific, ethnic ‘homeland’. As reburials aim to forget the atrocities, they also commemorate them. Although reburial is one of the few ways of moving on after the death of a loved one, it simultaneously claims territory for the communities whose dead are buried there, potentially reigniting tensions in the future. Reburial allows communal reconciliation, but only for the community of the victims. For the community of the perpetrators, such a reburial only serves as a humiliation and inhibits harmony. Attempting to reconcile post-conflict multi-ethnic communities is thus impossible without understanding the profound effects that the community of the dead continues to play in the lives of the living.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

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 studies0.0000.003
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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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