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Record W4390991634 · doi:10.1163/19426720-02904003

The International Organization for Migration as a Counterweight to States?

2023· article· en· W4390991634 on OpenAlexaff
Younès Ahouga

Bibliographic record

VenueGlobal Governance A Review of Multilateralism and International Organizations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCounterweightLegitimacyAutonomyPolitical scienceLaw and economicsNormativeInternational lawPublic relationsLawSociologyPublic administrationPolitics

Abstract

fetched live from OpenAlex

Abstract The International Organization for Migration (IOM) is commonly described as a functional intergovernmental organization (IGO) that performs tasks on behalf of Member States. However, recent changes within IOM suggest its transformation into a hybrid IGO that promotes widely shared norms and social goals. One facet of this transformation aims to constitute IOM as a counterweight to the Member States. Leveraging pressures to adapt to the 2030 Agenda for Sustainable Development and the Global Compact for Migration, IOM sought to increase its authority and autonomy by drafting the Strategic Vision. This article conducts a critical discourse analysis of the Strategic Vision to emphasize how it proclaimed the normative role of IOM; centralized its structure, funding, and organizational routines; and changed the expression of its expert and moral authority. The article demonstrates that functional IGO s do not refer to norms and social goals solely to secure legitimacy.

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)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.018
Scholarly communication0.0130.009
Open science0.0010.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.328
Teacher spread0.315 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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