MétaCan
Menu
Back to cohort
Record W3095698442 · doi:10.2989/16085906.2020.1821458

AIDS and COVID-19: more lessons to be learned

2020· editorial· en· W3095698442 on OpenAlex
Alan Whiteside, Arnau van Wyngaard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAfrican Journal of AIDS Research · 2020
Typeeditorial
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Human immunodeficiency virus (HIV)Health careLibrary sciencePolitical scienceMedicineMedia studiesSociologyFamily medicineLaw

Abstract

fetched live from OpenAlex

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsAlan WhitesideAlan Whiteside OBE is the chair of Global Health Policy at Balsillie School of International Affairs, Waterloo, Canada, and also professor emeritus at the University of KwaZulu-Natal, South Africa. He wrote his first article on HIV in 1987 and in 1998 established the Health Economics and HIV AIDS Research Division at UKZN. He is the editor-in-chief of the African Journal of AIDS Research. Email: awhiteside@balsillieschool.caArnau van WyngaardArnau van Wyngaard established the Shiselweni home-based care project in south Eswatini (www.shbcare.org) to provide care and support to those affected by HIV and AIDS. He has written extensively on this, including in this journal. He has taken a keen interest in the COVID-19 pandemic. Email: wyngaard@lando.co.za

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.

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)0.008
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.194
GPT teacher head0.427
Teacher spread0.232 · 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