Democratic Development and the Role of Citizenship Education in Sub-Saharan Africa with a Case Focus on Zambia.
Bibliographic record
Abstract
In addressing issues related to problems of democratisation in Africa, this paper attempts to relate the issue to the need for citizenship education and the role that can play in social development. Citizenship should be central to the formation of viable civil societies that claim a tangible stake in national public spaces in post-Cold War Africa. These and related topics are discussed relative to new possibilities that could lead to the full realisation of the concept as well as the practice of enfranchised citizenship and inclusive social development in aspiring democracies in the Sub Saharan African context. The complexity of the development ‘problematique’ that SubSaharan Africa is facing is unique in that it is multi-dimensional, but above all else, politically located. It is, therefore, central to our discussions here that to correct the continent’s current schemes of underdevelopment, pragmatic schemes of governance must be achieved. To do that, we are suggesting, new possibilities of citizenship education should be formulated for the general African scene in general, and for democratising but still both institutionally and economically weakened Zambia. Citizenship education, democratisation, structural adjustment programs, civil society, sub-Saharan Africa, Zambia
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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 | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".