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Record W6980682142

Conference to reimagine structures responding to global public health emergencies

2021· article· en· W6980682142 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthGlobal healthInternational healthInternational lawState (computer science)Health lawHealth policy
DOInot available

Abstract

fetched live from OpenAlex

To help with the reimagination of local, national and international structures used to respond to global public health emergencies such as the emergence and spread of COVID-19, the University of Georgia School of Law will host a daylong, virtual conference titled "The Future of Global Health Governance" starting at 10 a.m. on January 25. Organized by the Dean Rusk International Law Center and the Georgia Journal of International and Comparative Law, the conference will address three crucial questions of global health governance: Whether and how the ailing global public health infrastructure might be reinvigorated. How the pandemic has threatened and exposed limitations of the social safety net in the United States and other economies around the world. The phenomenon of vaccine refusal and what national and international legal institutions might do to curb it. The conference will feature keynote addresses by Marice Ashe, the founder and leader of ChangeLab Solutions who regularly consults with federal and state agencies on how best to incorporate legal and policy tools into public health strategies, and Elsie E. Hayford, director of Lamèsè Ghana and sole director of Lamèsè Ltd UK who has undertaken health projects in Africa, the United Kingdom and the United States ensuring adherence to the law, the implementation of sound health policies and the building of robust health systems. Experts from the Council on Foreign Relations and the Max Planck Institute for Comparative Public Law and International Law as well as scholars from the Georgetown University Center for Global Health Science and Security, Harvard Law School, Dalhousie University in Nova Scotia and the Yale School of Medicine will serve as panelists, among others. Several conference presentations will be published in a forthcoming issue of the Georgia Journal of International and Comparative Law. For more information, please visit the conference website at www.law.uga.edu/gjiclspring2021 or email Catrina Martin at Catrina.Martin@uga.edu . Event sponsors include School of Law health law and international law student organizations in addition to UGA's College of Veterinary Medicine, School of Public and International Affairs and School of Social Work.

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 categoriesScience and technology studies, Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.209
GPT teacher head0.492
Teacher spread0.284 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2021
Admission routes1
Has abstractyes

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