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Record W4404060264 · doi:10.1080/07481187.2024.2424028

Missing pieces and body parts: On bodily integrity and political violence

2024· article· en· W4404060264 on OpenAlexaff
Jessica Auchter

Bibliographic record

VenueDeath Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPoliticsPsychologySocial psychologyCriminologyForensic engineeringPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

While much attention is paid to what happens to dead bodies after political violence, disaster, or atrocity, less attention has been paid to body parts, despite the wide-ranging efforts, both material (often forensic) and discursive, to reconstitute or resuscitate the whole dead body. Materializing the whole body is often considered key to truth-telling mechanisms and for closure for family members of the missing and dead, thus the body part is often posited as a problem in need of a solution. We are seeing, largely due to advances in forensic technologies, an increasing belief that all body parts can be identified and distinguished from other materials, and should, therefore, be recovered and repatriated to the whole body in its death. To explore this dynamic, I make two key arguments. First, I suggest that reassembling bodies is framed as a mechanism of re-subjectification that is key to reconciliation and justice after political violence. A body part is an object, but a dead body is in most contexts still considered a subject, even dead, so putting a dead body back together is considered re-humanizing and gives the dead body back its political agency. Second, I suggest that when this cannot be done materially due to the obstacles posed by modern warfare, we often see governance techniques that seek to do so discursively.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.426

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 studies0.0000.001
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 head0.135
GPT teacher head0.350
Teacher spread0.215 · 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 designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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