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Record W4255852157 · doi:10.3138/gsp.2.2.155

International Humanitarian Law and Interventions—Rwanda, 1994

2007· article· en· W4255852157 on OpenAlexvenueno aff
Elizabeth More

Bibliographic record

VenueGenocide Studies and Prevention · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGenocidePolitical scienceInternational lawResponsibility to protectHumanitarian interventionPsychological interventionLawInternational humanitarian lawCriminologySociologyPsychology

Abstract

fetched live from OpenAlex

International humanitarian law (IHL) applies to armed conflicts between and within states. It focuses on constraining the parties involved in such conflict to minimize human suffering, both of combatants and civilians, and, in so doing, is complemented by international human-rights law (IHRL). Recent events show the difficulties in implementing and enforcing both IHL and IHRL, and debate has escalated on whether or not such laws provide any basis for intervention, including, most controversially, military intervention. This article reinforces earlier arguments that the 1994 Rwandan genocide demonstrates a failure to uphold both IHL and IHRL in the face of genocide and ongoing massive human-rights abuses. Certainly we can blame the United States and the United Nations (especially its Security Council), but blame also attaches to those states that failed in the will and commitment to resolve the tragedy by meaningful international action using the legal justifications available. Their indifference suggests complicity in the final tragedy—almost a million Rwandans died, and some further three million became refugees—and points to the need to reassess IHL and IHRL theory and practice. Positive alterations in human-rights norms and growing challenges to traditional notions of sovereignty result in the notion that sins of omission, such as occurred in Rwanda in 1994, are actually worse than sins of commission. Moreover, it is timely to explore this failure again, given the belated legal recognition of the Rwandan genocide by the International Criminal Tribunal for Rwanda (ICTR) in 2006 and the ongoing crisis in the Darfur region of Sudan.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.542
Threshold uncertainty score0.954

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 studies0.0010.000
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 head0.050
GPT teacher head0.390
Teacher spread0.340 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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