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Record W2042403236

Knowing Women: Translating Patriarchy in International Criminal Law

2013· article· en· W2042403236 on OpenAlexaff
Doris Buss

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsCarleton University
Fundersnot available
KeywordsAppealTribunalPatriarchyBosnianGenocideCriminologyLawInternational communityPolitical scienceCriminal lawAdjudicationInternational lawSociology
DOInot available

Abstract

fetched live from OpenAlex

This article considers how international criminal courts produce knowledge about women’s experiences of large-scale violence. In 2001, the International Criminal Tribunal for Yugoslavia concluded that the crime of genocide had been committed in Srebrenica in 1995, and that the patriarchal nature of the Bosnian Muslim community was key to the genocide. This paper examines the processes by which the trial and appeal chambers came to know, and author an account of this community as patriarchal. I examine the transcripts of three witnesses who testified about the surviving community of Bosnian Muslim women, tracing how evidence was shaped and reshaped in the courtroom and then in the trial and appeal judgments. I argue here for the importance of exploring the mediating practices and actors that produce legal knowledge, to better understand how complex recognition of gendered harm unfolds, and is sometimes curtailed, through international criminal adjudication.

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)0.003
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 score0.220
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0010.000

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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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