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Record W2971266737 · doi:10.1017/cbo9780511491290

International Organisations and Peace Enforcement

2007· book· en· W2971266737 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

VenueCambridge University Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLegitimacyPolitical scienceIntervention (counseling)PeacekeepingDemocracyInternational communityEnforcementAuthoritarianismInternational relationsPoliticsPublic administrationPolitical economyDevelopment economicsLawSociology

Abstract

fetched live from OpenAlex

What distinguishes a peace enforcement operation from an invasion? This question has been asked with particular vehemence since the US intervention in Iraq, but it faces all military operations seeking to impose peace in countries torn by civil war. This book highlights the critical role of international organisations (IOs) as gatekeepers to international legitimacy for modern peace enforcement operations. The author analyses five operations launched through four IOs: the ECOWAS intervention in Liberia, the SADC operations in the Democratic Republic of Congo and Lesotho, the NATO Kosovo campaign and the UN intervention in East Timor. In all these campaigns, lead states sought IO mandates primarily to establish the international legitimacy of their interventions. The evidence suggests that international relations are structured by commonly accepted rules, that both democratic and authoritarian states care about the international legitimacy of their actions, and that IOs have a key function in world politics.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.807
Threshold uncertainty score0.848

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 studies0.0000.000
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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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