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Record W2074807492 · doi:10.7202/1026588ar

Des stratégies de changement dans les organisations internationales

2014· article· fr· W2074807492 on OpenAlexvenueno aff
Marieke Louis, Lucile Maertens

Bibliographic record

VenueÉtudes internationales · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Partant d’une comparaison inédite entre le Haut Commissariat des Nations Unies pour les réfugiés (hcr) et l’Organisation internationale du travail (oit), cet article suggère de revisiter la problématique du changement dans les organisations internationales en montrant, dans une perspective de sociologie des relations internationales, l’existence d’un continuum de stratégies organisationnelles mises en place par ces dernières pour légitimer leur existence et leur action, stratégies allant de la survie à la revendication d’une certaine autonomie. Deux moments de la vie du hcr et de l’oit sont comparés : l’intervention, en décembre 2004, du hcr au secours de victimes du tsunami en Asie du Sud-Est et le lancement, en juin 1999, de l’Agenda du travail décent, par le directeur général de l’oit.

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)0.013
metaresearch head score (Gemma)0.014
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 score0.013
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0080.026
Scholarly communication0.0120.010
Open science0.0020.008
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.048
GPT teacher head0.319
Teacher spread0.272 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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Same venueÉtudes internationalesSame topicInternational Labor and Employment LawFrench-language works237,207