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Record W2102007479 · doi:10.1177/0967010609336198

The Responsibility To Protect and the Conflict in Darfur: The Big Let-Down

2009· article· en· W2102007479 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.

Bibliographic record

VenueSecurity Dialogue · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsResponsibility to protectPolitical scienceAction (physics)PoliticsInternational relationsOrder (exchange)LawInternational lawBusiness

Abstract

fetched live from OpenAlex

Abstract This article discusses the international response to the conflict in Darfur from 2003 onwards in order to explore some of the key challenges related to implementing the responsibility to protect (R2P). First, we show that the debates on R2P in connection to Darfur translated into little more substantive action than the pragmatic decision to deploy peace operations with mandates that included civilian protection, as suggested by the African Union (AU) Mission in Sudan (AMIS), and later by the hybrid UN—AU Mission in Darfur (UNAMID). Second, we argue that the international response to Darfur illustrates three major challenges to R2P implementation. These are: political limitations inherent in the R2P framework; moral dilemmas emerging from military action; and tactical challenges, as exemplified by the struggles faced by the AU and the UN in Darfur. We conclude that the international failure to offer meaningful protection in Darfur highlights the need for continued caution and critical analysis of the ways in which R2P is conceptualized and implemented.

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)0.007
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: Empirical
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.293
Teacher spread0.277 · 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