The Politics of Socio-Economic Rights and Constitutionalism
Bibliographic record
Abstract
Abstract The novel coronavirus (COVID-19) crisis wreaked havoc across the globe, disrupting social life, destroying economies, overwhelming health care systems and limiting the enjoyment of human rights. In sub-Saharan Africa (SSA), the coronavirus pandemic exposed not just the shortfalls in social policy resilience, but weaknesses in the democratic commitment and governance systems. In order to contain the spread of the virus and ameliorate the economic and social consequences of the pandemic, many countries in SSA applied restrictions, frequently violating domestic constitutional guarantees for the enjoyment of human rights. This chapter discusses the impact of governments’ measures to combat coronavirus on social and economic rights in SSA. To illustrate this, while citing examples from across SSA, the chapter applies a human rights perspective to the Zambian government’s responses to the COVID-19 pandemic. The chapter takes a futuristic approach to propose how African countries could develop pandemic preparedness anchored in respect for human rights.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".