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Record W4315779286 · doi:10.1002/cjas.1703

International Organizations and Global Problem‐Solving: A Qualitative Comparative Analysis of the Impact of Autonomy, Experience, and Financial Resources on Achieving Objectives

2023· article· en· W4315779286 on OpenAlexaffvenue
Yves Plourde, Anne Sophie Prémont‐Picard

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsQualitative comparative analysisEquifinalityAutonomyBusinessManagement scienceFinancePolitical scienceEconomicsComputer science

Abstract

fetched live from OpenAlex

Abstract We examine the role of autonomy in the achievement (or non‐achievement) of the objectives of international organizations (IOs). Using a configurational approach, we theorize four scenarios related to autonomy, with regards to the experience and financial resources available to IOs. Our results, based on a qualitative comparative analysis (QCA) applied to 20 IOs in the United Nations (UN) system, demonstrate that autonomy can be a condition for both the success or the failure of an IO. Our study calls for the development of a systems theory of IO performance that takes into account the interdependence of conditions and the equifinality of solutions that explain the success (or failure) of these organizations in the pursuit of their mission.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.011
Science and technology studies0.0020.015
Scholarly communication0.0000.001
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 head0.165
GPT teacher head0.472
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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