Bibliographic record
Abstract
Human rights dimensions of the Covid-19 response escalate the obligations of governments. Since the time Covid was first identified in December 2020 in Wuhan, China, Human Rights Watch has reported several human rights abuses including the authoritarian responses in some countries.  Many governments are expanding public health measures by abandoning universal human rights. People are arrested for violating lockdown measures and curfews. Police and/or security forces are using violence, including lethal force, to enforce public health measures such as curfews and the wearing of masks. Lockdowns have imposed restrictions on individual movement by restraining them from leaving their place of residence. Some countries have imposed partial lockdowns. While restrictions on freedom of movement are necessary in the interest of protecting public health, states still are accountable to ensure that such restrictions are proportionate, evidence-based, and time-limited.  There were grievances and inequalities across countries, some of which were based on racist, gender-specific or other discrimination. There is also increased oppression of those who think differently. The pandemic exposes the failures in the context of political action and cooperation. The article makes recommendations on how governments can confront the pandemic while respecting basic human rights.
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 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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".