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Record W3097389238 · doi:10.24875/aidsrev.20000055

HIV, COVID-19, and civil society: Lessons from Venezuela’s humanitarian crisis

2020· article· en· W3097389238 on OpenAlexaff
Alberto Fernández de las Nieves, Kelly Safreed‐Harmon, Mary Ann Torres

Bibliographic record

VenueAids Reviews · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicVenezuelan Migration and Society
Canadian institutionsInternational Council Of Aids Service Organizations
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Civil societyHuman immunodeficiency virus (HIV)Humanitarian crisisPolitical science2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineEconomic growthVirologyEconomicsInternal medicineLawPolitics

Abstract

fetched live from OpenAlex

Venezuela has been experiencing a humanitarian emergency for much of the past decade, and its health system is widely recognized to be in a state of collapse. The political and economic crisis that gave rise to this situation has been accompanied by myriad human rights violations. With the national government's response to HIV so severely weakened by the ongoing humanitarian emergency, Venezuelan civil society organizations and international allies have stepped in to fill the void. The three prongs of their agenda have been community-led service delivery, health system monitoring, and advocacy. Our long experience in the HIV field tells us that the Venezuelan HIV community's capacity to respond to the collapse of the health system is not exceptional. HIV civil society organizations and networks of people living with HIV in countries worldwide are well-suited to help maintain health system functionality in the face of the COVID-19 pandemic, and it is imperative for the global community to capitalize on their skills.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.426
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.195
GPT teacher head0.405
Teacher spread0.210 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2020
Admission routes1
Has abstractyes

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