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Record W2029395352 · doi:10.1177/0305829808093730

War Crimes and the Ruin of Law

2008· article· en· W2029395352 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

VenueMillennium Journal of International Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsYork University
Fundersnot available
KeywordsNormalization (sociology)War crimeSpanish Civil WarJust war theoryLawNarrativeContext (archaeology)Political scienceState (computer science)CriminologyPost warPoliticsSociologyHistoryInternational lawComputer scienceArtLiteratureSocial science

Abstract

fetched live from OpenAlex

This article explores the manner in which the logic of the war crimes trial authorizes and legitimates the practice of war more generally. It proceeds from the recognition that all war involves injuring or the threat of injuring, and that articulating particular types of injuring as especially problematic takes as one of its effects the normalization of injuring in war more generally. The article queries the function of law through an analysis of the state of exception that is produced in the identification of 'war crimes'. It argues that the logic of excision, which produces the political conditions in which war crimes become possible is structurally replicated through the excision of the perpetrator in the context of the trial. It also explores the manner in which the narrative strategies of what Elaine Scarry calls 'active redescription' associated with war render most war-related deaths and injuries politically invisible. The article concludes with a number of strategies for rethinking what it means to account for violence.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.085
GPT teacher head0.368
Teacher spread0.283 · 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