Overview of COVID-19: Old and New Vulnerabilities
Bibliographic record
Abstract
The book, comprising 43 short chapters, is divided into 6 subthemes: federalism and governance, accountability, civil liberties, equity, labour, and global health.Our approach is one primarily grounded in law, because of the critical nature of law in defining responsibilities, accountability, rights, distribution of wealth, and, indeed, health.We have included other important disciplines, including ethics, public policy, public health, and medicine.We begin this overview chapter by providing context for the pandemic with facts and figures (including what we do not know), before turning to discuss in more detail how we employ a lens of vulnerability throughout our analysis.Subsequently, for each of our subthemes, we highlight insights emerging from the chapters.We conclude by claiming that the COVID-19 pandemic forces us to reflect deeply on how we are governed and on our policy priorities in order to ensure pandemic preparedness, response, and recovery policies include all of us, not just some or the most privileged of us. Context for a Modern-Day PlagueThe Emergence of COVID-19 At the time of writing, the novel coronavirus SARS-CoV-2 1 has infected people in 213 countries and territories and on every continent except Antarctica. 2 As of June 27, 2020, over 495,781 people worldwide 3 have died, including the 8,504 people who have died in Canada. 4The true death toll is certainly higher and will continue to rise.The respiratory illness caused by SARS-CoV-2 was initially identified by regional health authorities in China after dozens of people with similar symptoms were treated in Wuhan, Hubei Province, in December 2019.This made headlines when the World Health
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How this classification was reachedexpand
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".