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Record W2267002526 · doi:10.1093/bmb/ldv055

Bioethics meets Ebola: exploring the moral landscape

2016· review· en· W2267002526 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Medical Bulletin · 2016
Typereview
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBioethicsSolidarityDutyHealth careDisadvantagePublic healthEbola virusMedicineBiobankEbola vaccinePolitical sciencePublic relationsNursingLawOutbreakVirology

Abstract

fetched live from OpenAlex

INTRODUCTION: The Ebola Virus Disease (EVD) outbreak in West Africa raised ethical issues about structural disadvantage; the duty to care of healthcare workers; the use and study of unregistered agents; the use of restrictive measures like mass quarantine and the importance of public trust. SOURCES OF DATA: WHO reports, literature on EVD and ethics. AREAS OF AGREEMENT: The use of restrictive measures and the testing of unregistered agents is ethical if support for individuals or communities is provided. AREAS OF CONTROVERSY: Controversy exists over ethical trial design for the study of unregistered agents and over the limits of the duty to care. GROWING POINTS: The role of the WHO in outbreak control and research oversight needs rethinking and further support. Solidarity in global health needs fostering. AREAS TIMELY FOR DEVELOPING RESEARCH: Research is needed on how to restore and enhance health systems and public trust in EVD-affected countries.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.859
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.004

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 head0.188
GPT teacher head0.407
Teacher spread0.219 · 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