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Record W2316123800 · doi:10.1177/008124630803800411

The Training Institutions of Black African Clinical Psychologists Registered with the HPCSA in 2006

2008· article· en· W2316123800 on OpenAlexaboutno aff
Anthony L. Pillay, Evy-Terressah B. Siyothula

Bibliographic record

VenueSouth African Journal of Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsDemiseTraining (meteorology)Register (sociolinguistics)Black africanQuarter (Canadian coin)PsychologyMedical educationMedicinePolitical scienceHistoryGeographyLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.270
GPT teacher head0.465
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations38
Published2008
Admission routes1
Has abstractyes

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