African indigenous knowledges and education: implications for youth of African descent and Black focused schools in Toronto
Bibliographic record
Abstract
From the point of view of contemporary education in Toronto, Ontario, some of the common dilemmas within the system---drop-out rates, violence, class size, teacher accountability, and lack of minority teachers/personnel---are appraised to determine their impact on students of African heritage. This thesis identifies the problems or gaps inherent in the assumption of academic success as the only true measure of success, highlights those aspects of indigenous education and knowledges that may be applicable in filling the gaps caused by this assumption and consequent practices, and proposes that a union of the two systems is not only necessary but possible through incorporating elements of African indigenous education into the current system's practices, policies and curricula. This study examines traditional African indigenous knowledges and educational practices for the purposes of determining their relevance to and applicability in Black-focused schools in Toronto, Ontario. Literature-based, the study examines the writings of Afrocentrists---Cheikh Anta Diop, Molefi Asante, George Dei, Annette Henry and others---as integral to its exploration. In discussing traditional African education, I probe two indigenous African societies---Kenya in East Africa and Nigeria in West Africa. Equally critical as aids to understanding African indigenous knowledges are the works of Jomo Kenyatta wherein are detailed the pre-colonial education system of the Gikuyu peoples of Kenya, and those of Babs Fufunwa in relation to Nigeria. Also examined is knowledge transmission in the Nile Valley (Ancient Egypt and Nubia) to investigate how ancient Egypt is connected to other indigenous African societies through commonalities in educational practices and beliefs. The impact of colonialism and colonial education on these cultures and the consequent destruction of their traditional educational systems also comprise salient aspects of this study.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.031 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".