Decolonised Mentoring and Black Women's Excellence: Some Thoughts on Mentoring in Post-Apartheid South Africa
Bibliographic record
Abstract
South Africa has had a turbulent history, having survived two colonial empires that left it in a state of repair. For Black women to succeed in post-apartheid South Africa, mentoring is indispensable. The form that this mentoring take is, however, imperative as it can initiate Black women's excellence that speak to the natural potential and ability that they possess to overcome the overlapping barriers placed on them by oppressive systems such as coloniality, race, and gender. As a first-generation graduate who identifies as both Coloured and Black in South Africa, I have been fortunate to serve as a mentor in various educational and employment contexts. Through my experience as a mentee and now mentor, I reflect on my position in post-apartheid South Africa as a Black woman and mentor to other Black women. The focus of this paper is to advance decolonial mentoring that attend to colonial and apartheid remnants in the present while also seeking to foster Black women's excellence. Consequently, decolonial love and healing are prioritised.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".