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Record W3088970800 · doi:10.1093/ejil/chaa044

Organizing Internationally: Georges Abi-Saab, the Congo Crisis and the Decolonization of the United Nations

2020· article· en· W3088970800 on OpenAlexaff
Umut Özsu

Bibliographic record

VenueEuropean Journal of International Law · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsDecolonizationPoliticsPolitical scienceNegotiationIndependence (probability theory)International lawGeneral assemblyLawWorld War IIPublic administrationPolitical economySociology

Abstract

fetched live from OpenAlex

Abstract Why and how have ‘Third World’ international lawyers engaged with the law of international organizations? This article considers Georges Abi-Saab’s 1978 work The United Nations Operation in the Congo 1960–1964, an important but largely forgotten intervention in debates about the power and authority of the United Nations (UN) at the height of the post-World War II wave of decolonization. Fusing careful analysis of the legal rules and instruments that underwrote UN operations during the Congo crisis with a narrative reconstruction of the accompanying political and diplomatic negotiations, Abi-Saab’s book examines the organization’s involvement in the conflict following Congo’s formal independence from Belgium in June 1960, both during and after Dag Hammarskjöld’s tenure as UN Secretary-General. This article takes up Abi-Saab’s account of Hammarskjöld’s role in, and management of, the crisis. It demonstrates that Abi-Saab understood the Secretary-General’s office to be not only hedged in by significant ‘constitutional’ constraints on publicly justifiable action but also uniquely equipped to coordinate competing interests and facilitate collective action. It also demonstrates that this dual understanding of the Secretary-General – both ‘legalistic’ and overtly ‘political’ – informed Abi-Saab’s commitment to developing international law in and through international organizations.

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)0.000
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: none
Teacher disagreement score0.987
Threshold uncertainty score0.275

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 science0.0010.000
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 head0.024
GPT teacher head0.202
Teacher spread0.178 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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