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Record W1979439436 · doi:10.1353/gsp.2011.0016

Halting Genocide: Rhetoric versus Reality

2007· article· en· W1979439436 on OpenAlexvenueno aff
Thomas G. Weiss

Bibliographic record

VenueGenocide Studies and Prevention · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitarian interventionGenocideRhetoricNormativeResponsibility to protectSovereigntyHuman rightsIntervention (counseling)PoliticsPolitical scienceNorm (philosophy)SociologyLawEnvironmental ethicsLaw and economicsPsychologyPhilosophy

Abstract

fetched live from OpenAlex

The chasm between normative development and international practice regarding humanitarian intervention is wide, as evidenced by the ongoing genocide in Darfur. Rarely are political reality and pious rhetoric in sync. Depicting the normative development on a graph would reflect a steady growth since the early 1990s, whereas the curve depicting the operational capacity and political will to engage in humanitarian intervention would resemble the path of a roller coaster. This article examines the trajectory of norm building about military intervention for human protection purposes, emphasizing the concept of the ‘‘responsibility to protect.’’ While considerable progress has been made toward resolving the fundamental tension between the principles of state sovereignty and human rights, the actual practice of military humanitarianism has reached a nadir at present. The article highlights five impediments to human protection in genocidal contexts: the resistance from the Non-Aligned Movement; the blowback from 9/11; a distracted superpower; spoilers, war economies, and privatization; and the civilian humanitarian identity crisis itself.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.034
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.075
Scholarly communication0.0120.014
Open science0.0020.007
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.102
GPT teacher head0.426
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2007
Admission routes1
Has abstractyes

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