Bibliographic record
Abstract
Chapter 10 reviews the history of colonial medicine in the Belgian Congo. In this huge colony, Belgium established arguably the best healthcare system in tropical Africa, with more than 2,500 institutions of all kinds. As in the French colonies, there were large-scale disease control interventions using injectable drugs. A network of public health laboratories, including those in Léopoldville and Stanleyville, are ruled out as being instrumental in the early propagation of HIV. The brilliant career of Lucien Van Hoof, the colony’s chief medical officer for twelve years who also did cutting-edge research on the control of sleeping sickness, is highlighted. The rather debatable medical practices in Léopoldville’s STD clinics are examined; ‘free women’ were forced to undergo a long series of intravenous injections if they were thought, often wrongly, to have had syphilis previously. An outbreak among these women of ‘inoculation hepatitis’ was recognised in the early 1950s. An analysis of changes in the incidence of tuberculosis in various parts of the Belgian Congo in the 1950s suggests that HIV was already driving this increasing incidence in Léopoldville. A recent study identified several routes for the iatrogenic transmission of blood-borne viruses during the colonial and early post-colonial era.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".