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Record W4395056656 · doi:10.1007/978-3-031-41804-4

Research Ethics in Epidemics and Pandemics: A Casebook

2024· book· en· W4395056656 on OpenAlexaff
Susan Bull, Michael Parker, Joseph Ali, Monique Jonas, Vasantha Muthuswamy, Carla Saénz, Maxwell J. Smith, Teck Chuan Voo, Katharine Wright, Jantina de Vries

Bibliographic record

VenuePublic health ethics analysis · 2024
Typebook
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsWestern University
FundersNational Medical Research CouncilMedical Research CouncilCenters for Disease Control and PreventionNational Cancer InstituteNational Institutes of HealthDepartment for International DevelopmentIndian Council of Medical ResearchNational Health and Medical Research CouncilGeorgetown University
KeywordsCasebookPandemicEnvironmental ethicsCoronavirus disease 2019 (COVID-19)GeographyEngineering ethicsPolitical scienceMedicineLawPhilosophyEngineeringInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This Open Access book addresses the complex and dynamic of academic literature and policy on research ethics in the context of epidemics and pandemics

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)0.322
metaresearch head score (Gemma)0.326
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3220.326
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0090.006
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0130.161
Insufficient payload (model declined to judge)0.0000.000

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 head0.893
GPT teacher head0.713
Teacher spread0.180 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations2
Published2024
Admission routes1
Has abstractyes

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