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Record W4406079066 · doi:10.1093/shm/hkae061

HIV Vaccine Research Coordination by the World Health Organization Between 1990 and 1995: Negotiating the Access to Research Cohorts of Military Subjects

2025· article· en· W4406079066 on OpenAlexaff
Pierre‐Marie David

Bibliographic record

VenueSocial History of Medicine · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsUniversité de Montréal
FundersAgence Nationale de la RechercheStyrelsen för Internationellt Utvecklingssamarbete
KeywordsNegotiationHuman immunodeficiency virus (HIV)MedicineFamily medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This article presents how acquired immunodeficiency syndrome (AIDS) vaccine research was coordinated internationally between 1990 and 1995 by creating a special unit within the World Health Organization (WHO), the AIDS Vaccine Development (VAD) unit. This WHO's international coordination constituted a paradoxical repoliticisation of international human immunodeficiency virus (HIV) research, as it centralised scattered, privatised and sometimes hidden research within a single international organisation, while also reinscribing research in southern countries into ambivalent, postcolonial power relations by means of humanist arguments and research cohorts of military subjects. This history is important because the WHO coordination appears to have unwillingly elided the sociopolitical conditions of possibility for experimentation that were also, in part, driving the explosion of HIV infection on the continent at that time. Finally, it helps reflect on how the current global health paradigm of accelerated research for innovations and vaccine development can institute uneven research infrastructures.

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)0.193
metaresearch head score (Gemma)0.145
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.995

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1930.145
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0130.019
Scholarly communication0.0180.011
Open science0.0030.023
Research integrity0.0060.007
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 head0.100
GPT teacher head0.454
Teacher spread0.354 · 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.

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
Published2025
Admission routes1
Has abstractyes

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