MétaCan
Menu
← Back to cohort
Record W4409728499 · doi:10.2139/ssrn.5225713

The Impact of HIV Stigma and Discrimination on HIV Testing, Antiretroviral Treatment, and Viral Suppression in Africa: A Pooled Analysis of Population-Based Surveys

2025· preprint· en· W4409728499 on OpenAlexafffund
Carla M. Doyle, Salome Kuchukhidze, James Stannah, Jorge Luis Flores Anato, Yiqing Xia, Arlette Simo Fotso, Mabel Carabalí, Gideon Kye-Duodu, Sharmistha Mishra, Anatole Mian, Fern Terris‐Prestholt, Oksana Kovtun, Aditya Singh, Jack Stone, Serge Niangoran, Andreea Adelina Artenie, Peter Vickerman, Marie‐Claude Boily, Mathieu Maheu‐Giroux

Bibliographic record

VenueSSRN Electronic Journal · 2025
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsUniversity of TorontoMcGill University
FundersInstitute of Population and Public HealthMedical Research CouncilForeign, Commonwealth and Development OfficeCanadian Institutes of Health ResearchEuropean CommissionEuropean and Developing Countries Clinical Trials PartnershipWellcome Trust
KeywordsStigma (botany)Human immunodeficiency virus (HIV)VirologyAntiretroviral treatmentPopulationAntiretroviral therapyViral loadImmunologyMedicineEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.017
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0020.005
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.285
Teacher spread0.256 · 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 designObservational
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
Published2025
Admission routes2
Has abstractno

Explore more

Same venueSSRN Electronic Journal→Same topicHIV/AIDS Impact and Responses→French-language works237,207→