The Protection of Human Rights in Pandemics—Reflections on the Past, Present, and Future
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
Abstract This special section tells the story of Covid-19 through the lens of national responses, serious concerns about unprecedented human rights limitations and infringements, and the respective role of courts in public health emergencies. It compiles perspectives on disease control developments in Brazil, Italy, Poland, Taiwan, the U.S., and the EU to explore various aspects of judicial review protecting, or failing to protect, human rights. It offers insights from states and regions which have experienced high pandemic rates or may attract attention for not treating human rights as a priority. Amidst the crisis of multilateralism and the World Health Organization (WHO) authority, and the fact that public health is typically a national power, the Articles focus on the state-level analyses to inspire comparative findings and further research. The section also draws on diversity and transdisciplinarity. The contributions are authored by scholars specializing in wide-ranging areas of law, including constitutional, health, private, and human rights law, as well as in political philosophy and public health. This text introduces the special section by offering a broader picture of the human rights’ problématique in times of 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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it