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Record W3123389094 · doi:10.1163/157237409x477635

Privileges and Immunities of Global Public-Private Partnerships: A Case study of the Global Fund to Fight AIDs, Tuberculosis and Malaria

2009· article· en· W3123389094 on OpenAlexaff
Davinia Aziz

Bibliographic record

VenueInternational Organizations Law Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsYork University
Fundersnot available
KeywordsGlobal governancePublic international lawTreatyGeneral partnershipInternational lawPolitical scienceCorporate governanceMalariaState (computer science)LawPublic administrationLaw and economicsBusinessEconomicsMedicine

Abstract

fetched live from OpenAlex

Abstract The question of whether it is at all appropriate to extend privileges and immunities regimes beyond international organizations to the increasingly ubiquitous global public-private partnership structure has received little attention to date in the scholarly literature. This article examines this question through a study of the Global Fund to Fight AIDS, Tuberculosis and Malaria, a permanent global public-private partnership that formally incorporates non-state actors as equal players in its core governance structures. The article concludes that considerations of genesis and administrative law-type analyses of institutional design may, to some extent, substitute for the constituent treaty of classical international law in order to identify which global public-private partnerships should benefit from privileges and immunities, as well as the specific privileges and immunities to be granted in each case to facilitate the effective fulfilment of these partnerships' mandates.

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)0.011
metaresearch head score (Gemma)0.013
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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.016
Scholarly communication0.0070.006
Open science0.0010.008
Research integrity0.0050.004
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 head0.059
GPT teacher head0.346
Teacher spread0.287 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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