Whither ‘Sub-Saharan Africa’ Can We Use the Compass Instead?
Bibliographic record
Abstract
Currently, there are few conversations about the term ‘Sub-Saharan Africa (SSA)’ (L.T. 2019) and its continued use (Zeleza 2022; Daley and Murrey, 2022). An end to the use of this problematic term is long overdue, and African voices on this matter should be amplified. This contribution to the literature aims to offer a solid reference point to support discussions about the discontinued use of this virulent term due to its racialist origins and racist undertones (Adébísí 2016; Chachage 2020; Ekwe-Ekwe 2012; Zeleza 2010). Through the voices of several prominent Africans, we explore the term’s invention, its scholarly (dis)advantages, and potential harm in its continued usage.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".