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Record W3025030566 · doi:10.1080/20531702.2020.1761656

Still agreeing to disagree: international security and constructive ambiguity

2020· article· en· W3025030566 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

VenueJournal on the Use of Force and International Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAmbiguityConstructiveSecurity councilSecurity studiesPolitical scienceInternational securityLawInternational lawCorporate governanceInternational relationsResolution (logic)State (computer science)SociologyLaw and economicsComputer scienceEconomicsManagementProcess (computing)

Abstract

fetched live from OpenAlex

This article – which updates and builds on an earlier piece published in Global Governance in 2004 – concerns the deliberate use of redundancies, contradictions, imprecisions and other ambiguities in UN Security Council resolutions on the use of force, centrally including Resolution 1441 on Iraq, Resolution 1973 on Libya, and Resolution 2249 on Syria and Iraq. ‘Constructive ambiguity’, a term generally attributed to former US Secretary of State Henry Kissinger, is employed in many areas of international law. This article identifies five different forms of constructive ambiguity found in Security Council resolutions and suggests reasons for why this drafting strategy is used. It concludes by considering the implications of this research for our understanding of the role of international law in international peace and security. It finds that ambiguity, deployed deliberately and strategically, is not the ‘design weakness’ that some scholars consider it to be.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.235

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 head0.053
GPT teacher head0.305
Teacher spread0.252 · 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