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Record W3045756472 · doi:10.1186/s12992-020-00600-4

The International Health Regulations (2005), the threat of populism and the COVID-19 pandemic

2020· letter· en· W3045756472 on OpenAlex
Kumanan Wilson, Sam Halabi, Lawrence O. Gostin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobalization and Health · 2020
Typeletter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsOttawa HospitalBruyèreUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsPopulismCoronavirus disease 2019 (COVID-19)PandemicSocial policyPublic health2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Health services researchPolitical scienceHealth policyVirologyMedicineLawPoliticsOutbreakNursing

Abstract

fetched live from OpenAlex

The global response to the COVID-19 pandemic has laid bare weaknesses and major challenges in the international approach to managing public health emergencies. Populist sentiment is spreading globally as democratic nations are increasing their support for or electing governments that are perceived to represent "traditional" native interests. Measures need to be taken to proactively address populist sentiment when reviewing the IHR (2005) effectiveness in the COVID-19 pandemic. We discuss how populism can impact the IHR (2005) and conversely how the IHR (2005) may be able to address populist concerns if the global community commits to helping states address public health threats that emerge within their borders.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.182
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.365
Teacher spread0.268 · 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