Independence as Discovery: Mozambique's 1975 Nationalization of Funeral Services
Bibliographic record
Abstract
In July 1975, a month after Mozambique's independence from Portugal, the state nationalized all health care, schooling, and legal counsel, so that all Mozambicans would have equal access to these key services – at least theoretically. The fourth, seemingly anomalous sector to be nationalized on the ‘Day of Nationalizations’: funeral services. The inflationary costs of burial in the capital, Lourenço Marques (today's Maputo) came to the attention of cabinet ministers only during the few weeks they had been ministers. Reacting with disgust, they decided there would be no ‘commercialization of death’ in the People's Republic of Mozambique. Based largely on interviews with the former minister of health and with Isaac Araújo, whose family ran perhaps the first African-owned funeral services business in Lourenço Marques, this article uses the episode to discuss the nature of government decision-making during the very earliest days of independence, a period that I argue deserves special attention. Emphasized is the role that Lourenço Marques played as context: how for neophyte ministers, learning to wield the levers of state was also a process of discovery about life in the capital city.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".