The Nurse in the University: A History of University Education for South African Nurses: A Case Study of the University of the Witwatersrand
Bibliographic record
Abstract
This paper charts the history and debates surrounding the introduction of academic, university-based training of nurses in South Africa. This was a process that was drawn out over five decades, beginning in the late 1930s. For nurses, university training was an important part of a process of professionalization; however, for other members of the medical community, nursing was seen as being linked to women's service work. Using the case-study of the University of the Witwatersrand, one of South Africa's premier universities and the place in the country to offer a university-based nursing program, we argue that an historical understanding of the ways in which nursing education was integrated into the university system tells us a great deal about the professionalization of nursing. This paper also recognises, for the first time, the pioneers of this important process.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.038 | 0.015 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.006 |
| 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".