MétaCan
Menu
Back to cohort
Record W3125565023 · doi:10.1177/0964663913487398

Knowing Women

2013· article· en· W3125565023 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial & Legal Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsCarleton University
FundersGovernment of Canada
KeywordsBosnianTribunalAppealGenocideCriminologyInternational communityLawSociologyHarmAdjudicationPolitical science

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.060
GPT teacher head0.356
Teacher spread0.296 · 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