A place for traditional and customary practices in funerals during and post COVID-19: Insights from South Africa.
Bibliographic record
Abstract
President Cyril Ramaphosa and his government declared a National State of Disaster, and banned large gatherings to help contain the spread of coronavirus on March 21, 2020. Less than a week after he banned large gatherings to help contain the spread of coronavirus. Families were also encouraged to bury their deceased loved ones as soon as possible after they leave the mortuary. This left families with little to no time to grieve and execute certain expected customary rituals, some of which are performed on the deceased. Families were prohibited from handling the remains of their loved ones and assigned people by the government assumed that role. The bodies of deceased COVID-19 patients were carefully transported and covered in body bags, but in terms of custom, they should be wrapped in a cow skin or blanket according to customary rules. According to African customary law, close family members should be present in the same room as the deceased and perform rituals to ward off evil deeds performed by those who encounter the body. The worldviews of South African people towards conducting burials was thus disrupted by the COVID-19 regulations. Embalming was also discouraged to minimize interaction with the remains. This paper relied on secondary data from the relevant literature, such as official documentation, scholarly articles and news articles. The paper asserts that the COVID-19 regulations have altered the way people in South Africa perform their traditional funerals. It also describes the difficulties people faced while burying their loved ones according to the strict COVID-19 guidelines which compromised most of the traditional and customary practices. The paper further looks at the funeral processes post COVID-19 and emphasises that people have been led by the spirit of Ubuntu to continue with their traditional ways of conducting funerals that are centred in African spirituality.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.022 | 0.015 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".