“RIGHTING,” RESTRUCTURING, AND REJUVENATING THE POSTCOLONIAL AFRICAN STATE: THE CASE FOR THE ESTABLISHMENT OF AN AU SPECIAL COMMISSION ON NATIONAL MINORITIES
Bibliographic record
Abstract
This chapter describes, in a modest way, the process of producing ever more accurate scholarly and policy understanding with regard to this very complicated socio-legal subject. It develops systematically an analytical case for the establishment of an African Union (AU) Special Commission on National Minorities as a way of beginning a viable process of resolving the national minority problem that underlies the structural legitimacy crisis. The chapter describes the nature of the national minority problem within the postcolonial African state. It discusses the normative imperative of rejuvenating the postcolonial African state through its righting and restructuring. The chapter also develops – in as full a fashion as space allows – a case for the establishment of a particular kind of inter-African institution, i.e. the Special Commission on National Minorities, to facilitate and bolster the normatively imperative process of righting, restructuring – and therefore rejuvenating, the postcolonial African state.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.037 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".