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Record W4402309219 · doi:10.3138/jh-2023-0056

“Many Who Came Here Suffered, But I Did Too”: Examining Defense Narratives and Inter-Perpetrator Dynamics of Genocide Perpetrators in Northwest Bosnia

2024· article· en· W4402309219 on OpenAlexvenueno aff
Marko Dumančić

Bibliographic record

VenueJournal of History · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideNarrativeDynamics (music)CriminologyPolitical sciencePsychologyLawArtLiterature

Abstract

fetched live from OpenAlex

This article investigates the defense strategies and inter-perpetrator relationships among those accused of genocide in Northwest Bosnia, particularly within the Prijedor municipality. It scrutinizes the International Criminal Tribunal for the Former Yugoslavia (ICTY) trials of Duško Tadić, Miroslav Kvočka, and Milomir Stakić, focusing on their self-defense narratives and their interactions within local and broader socio-political frameworks. The analysis reveals that the internal dynamics among the perpetrators in Prijedor were characterized by complex power hierarchies that shaped their participation in genocidal acts. By applying criminological theories to a detailed qualitative analysis of trial transcripts and public statements, this study exposes defense narratives as integrally connected to the perpetrators’ self-image and ethical justifications. This research enhances our understanding of how localized leadership and individual decision-making within specific power structures critically impact the commission of war crimes, crimes against humanity, and genocide.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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 designQualitative
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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