Decolonizing Knowledge, Education and Social Development: Africanist Perspectives
Bibliographic record
Abstract
Abstract Education is viewed, in general terms, as conductive to social development, intended her as the overall and contextual wellbeing of individuals, communities and societies. Both the ideational and select practices of development emerged and expanded in the past 70 or so years. With colonial education continuing unchallenged in ‘postcolonial’ Africa, complemented by the importation of prepackaged, non-functional development schemes, the need for knowledge and learning reconstructions are urgently needed in the continent. It is with that in mind that this paper undertakes both historical and actual analysis of the situation, beginning with the critical readings and relevant analytical, counter-colonial problematizations of Eurocentric and by extension, monocentric modalities of knowledge, education and development. To be sure, the arbitrary constructions of both the terra and persona Africana by European and Euro-American thought leaders who served as the theoretical vanguards for colonialism and contemporary global capitalist domination has led to, and sustains the current situation with respect to African educational and social development contexts. The appreciation of the historical analysis here, as critically attaching to current situations, is important in achieving the needed counter-Eurocentric discursive formations and related reconstructive educational and development possibilities.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".