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Record W4408941952 · doi:10.5038/1911-9933.18.2.1982

Assembling Pieces of Accountability for the Srebrenica Genocide

2024· article· en· W4408941952 on OpenAlexvenueno aff
Annick Pijnenburg, Nataša Nedeski

Bibliographic record

VenueGenocide Studies and Prevention · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
FundersUniversity of OxfordUniversity of CambridgeUniversity of Dayton
KeywordsGenocideAccountabilityPolitical scienceComputer securityCriminologySociologyLawComputer science

Abstract

fetched live from OpenAlex

The Srebrenica genocide has been the subject of multiple legal proceedings against various actors before different courts, at both the national and international level. Amongst others, the International Criminal Tribunal for the Former Yugoslavia has sentenced various individual perpetrators, the International Court of Justice has ruled on the responsibility of the Serbian state, and Dutch courts have been asked to rule on the liability of the Dutch state and the United Nations. This raises the following question: to what extent have multiple adjudicatory mechanisms across legal regimes managed to deliver accountability for the Srebrenica genocide and what are the remaining accountability gaps? In order to answer this question, the article focuses on both legal procedural accountability and substantive accountability. It first recalls the events of July 1995, including the different actors involved (both through their actions and omissions), before giving an overview of cases that have been litigated under criminal law, tort law, and international state responsibility law in multiple international, regional and domestic jurisdictions. The analysis concludes with an overarching analysis of the extent to which legal accountability for the Srebrenica genocide has been achieved.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.819
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.088
GPT teacher head0.444
Teacher spread0.356 · 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 designOther design
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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