The Training Institutions of Black African Clinical Psychologists Registered with the HPCSA in 2006
Bibliographic record
Abstract
The investigation was undertaken to provide an indication of the number of black African clinical psychologists in the country and the institutions that have trained them. The register of Psychologists of the Health Professions Council of South Africa (HPCSA) was examined to analyse (1) the number of black Africans registered as clinical psychologists, and (2) the universities that trained them. Methodologically this was a challenging exercise, since black African clinical psychologists had to be identified by their names, with the result that a margin of error is expected, albeit rather small. A total of 325 black African clinical psychologists were identified in the HPCSA registers up to November 2006, reflecting 14.2% of all registered clinical psychologists in the country. Fifty-nine (18.2%) of the 325 were trained in the years up to 1994, while the rest (266 or 81.8%) were trained in the years following the official demise of apartheid. Almost one out of six was trained at the Medical University of Southern Africa (Medunsa), which together with the University of the Witwatersrand trained over one quarter of the black African clinical psychologists registered at the time. In total, the historically black universities trained 153 (47.1 %), but in the post- apartheid period from 1995 they trained the majority (136 or 51.1%). The results are discussed in terms of their implications for future training and the broader needs in South Africa.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".