Modern post-colonial approaches to citizenship: Kwame Nkrumah’s political thought on Pan-Africanism
Bibliographic record
Abstract
This project of critical citizenship studies and comparative political theory utilizes a framework of multiple modernities in order to deeply explore the ontological foundations and complexities of a non-Western conception of citizenship and nationhood: political pan-Africanism. It does so through a study of the political thought of Kwame Nkrumah, a deeply influential political theorist and actor, in the context of the Gold Coast’s struggle for independence and in the initial years of Ghanaian post-colonialism. How did Nkrumah conceive of Pan-Africanist citizenship and nationhood in political and ontological terms? How does this relate to both modern conceptions of citizenship as tied to the nation-state and traditional Ghanaian conceptions of citizenship and belonging? After considering these questions, this paper explores how Nkrumah’s vision of Pan-Africanism was influenced by, yet contradicted central tenets of, Western political thought and modernity. It explores the theoretical and practical tensions inherent between this non-Western conception of the nation and the dominance of aspects of ‘Western’ modernity. Exploring these questions through the lens of Nkrumah’s political thought offers an Afrocentric study in an effort to strengthen African historical agency and to deparochialize citizenship studies and political theory.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.023 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".