Accelerating Action in Global Health Security: Global Biosecurity Dialogue as a Model for Advancing the Global Health Security Agenda
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.
Bibliographic record
Abstract
Biosecurity and biosafety measures are designed to mitigate intentional and accidental biological risks that pose potentially catastrophic consequences to a country's health system, security, and political and economic stability. Unfortunately, biosecurity and biosafety are often under-prioritized nationally, regionally, and globally. Security leaders often deemphasize accidental and deliberate biological threats relative to other challenges to peace and security. Given emerging biological risks, including those associated with rapid technological advances and terrorist and state interest in weapons of mass destruction, biosecurity deserves stronger emphasis in health and security fora. The Global Biosecurity Dialogue (GBD) was initiated to align national and regional donor initiatives toward a common set of measurable targets. The GBD was launched by the Nuclear Threat Initiative (NTI), with support from Global Affairs Canada's Weapons Threat Reduction Program and the Open Philanthropy Project, and in coordination with the government of The Netherlands as the 2018-19 Chair of the Global Health Security Agenda (GHSA) Action Package Prevent-3 (APP3) on Biosafety and Biosecurity. The GBD provides a multisectoral forum for sharing models, enabling new actions to achieve biosecurity-related targets, and promoting biosecurity as an integral component of health security. The GBD has contributed to new national and continent-wide actions, including the African Union and Africa Centres for Disease Control and Prevention's new regional Initiative to Strengthen Biosafety and Biosecurity in Africa. Here we present the GBD as a model for catalyzing action within APP3. We describe how the benefits of this approach could expand to other GHSA Action Packages and international health security initiatives.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it