Beyond crisis: African universities’ global presence before and after structural adjustment
Bibliographic record
Abstract
I want to say what a privilege it is to be invited to comment on Jeremiah Arowosegbe’s article ‘African universities and the challenge of postcolonial development’. First and foremost, this is because Arowosegbe’s piece is exactly the kind of intervention we need more of: passionately written, politically engaged commentaries on the state of African universities today by scholars based on the continent who are invested in charting the best way forward for their institutions. African universities have been in a kind of Janus-faced state for at least the last decade, if not longer. On the one hand, institutions with records of having been among the world’s most exciting universities of the 1960s and 1970s – Makerere, Ibadan, Dar es Salaam – have had to endure a near total, decades-long collapse driven by austerity programmes imposed by the International Monetary Fund (IMF) and forced on African states from the 1980s. This is a crisis that undoubtably lingers – indeed, Arowosegbe makes it his focus – and these universities have had to struggle not to be entirely defined by this story of lack and of failure . On the other hand, some of these institutions (including those named above) have come through the fire of this collapse and have emerged with new life that cannot be reduced to mere tendrils. On the contrary: the continent’s top dozen or so universities are today producing students who will very likely become the world’s next generation of humanists, social scientists and hard scientists focused on Africa, and beyond too. The pipeline for this present generation of students often now runs from undergraduate and master’s programmes in Africa, to top doctoral programmes in North America and Europe, to these students being the most competitive candidates for the mini-boom (relatively speaking) in tenure-track positions in disciplinary scholarship and pedagogy focused on Africa. Amidst a more general withering of the humanities in globally northern universities, African and Black Studies constitute a partial exception to the dying throes of higher education as we know it and are part of a laudable and long overdue diversification of the field. Adding to the reconfiguration of African Studies’ landscape of labour, the dramatic shortage of viable jobs in North America and the UK is making the job market for graduates of the world’s top PhD programmes a truly global one that includes Africa prominently. Not since the 1960s have we seen the prospect of top African universities being realistically able to attract new scholars trained in the global North to base themselves in Africa – a potential boon to African universities (even if one that remains more in potentia than realized).
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".