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Record W4410221654 · doi:10.25071/2817-5344/95

Inconsistent Justice

2025· article· en· W4410221654 on OpenAlexaff
Saahil Gill

Bibliographic record

VenueCanadian Journal for the Academic Mind · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEconomic JusticePolitical sciencePsychologySociologyLaw

Abstract

fetched live from OpenAlex

This paper critically examines landmark precedents set by the International Criminal Tribunals for Rwanda (ICTR) and the former Yugoslavia (ICTY) in prosecuting sexual violence as a means of genocide. Under statutory international humanitarian law, sexual violence is not explicitly listed as a means of genocide, leaving the chambers of these aforementioned tribunals to interpret various legal instruments in order to prosecute the perpetrators of sexual violence during the armed conflicts. In this context, the ICTR set a groundbreaking precedent in the Akayesu case by recognizing sexual violence as a means of committing genocide, thereby elevating the status of these sexual crimes to one of the gravest violations under international law. By contrast, the ICTY was notably reluctant to rule sexual violence and rape as a charge of genocide, electing instead to prosecute it solely as a crime against humanity. By analyzing key cases such as Akayesu at the ICTR and Kunarac et al. and Kristic at the ICTY, this paper argues that the latter’s reluctance to recognize sexual violence as a genocidal act has influenced the International Criminal Court’s (ICC) limited application of genocide charges in contemporary cases involving sexual violence. Consequently, victims of gender-based violence during armed conflict continue to face challenges in securing proper justice and accountability. As such, this analysis highlights the need for a re-evaluation of both the existing statutory and judicial understanding of genocide under international law to reflect the ICTR’s broader recognition of the relationship between gender-based sexual violence, armed conflict, and genocidal intent.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.111
GPT teacher head0.402
Teacher spread0.291 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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