Reclaiming Our Africanness in the Diasporized Context: The Challenge of Asserting a Critical African Personality
Bibliographic record
Abstract
In the annals of African and Black peoples history, and particularly anti-colonial nationalist politics, Nkrumah remains in a unique position as a nationalist and anti-colonialist who pioneered a struggle for Independence for the first Black nation on the continent. Given the postcolonial challenges facing African peoples today, African intellectuals today have a responsibility to revisit some of his pioneering ideas as we seek to design our own futures. To revisit Nkrumah is more than about a ‘return to the source’ i.e., Sankofa’. It is also about to return to the source to listen, learn, and hear that is ‘Sankotie’ and Sankowhe’ (see Aikins 2010). This paper would borrow from the philosophy and ideas of Nkrumah as we rethink how African peoples can design their own futures in the area of schooling and education. I centre the possibilities of Pan-African spirituality as a base/sub structure on which rest the possibilities of community building. I focus on Pan-African spirituality as resistance to the disembodiment and dismemberment in Diasporic contexts. In so doing, I will also seek to draw connections of Afrocentricity and Pan-African struggles to highlight the challenge and promise of African agency.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.052 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".