Bibliographic record
Abstract
How do we articulate the possibilities, limitations and challenges of inclusive schooling and education in African contexts? This book insists that inclusive education cannot be taken for granted. Inclusion is neither a natural nor a given educational practice. It must be struggled for. Bringing a critical perspective to inclusive schooling and education is imperative. This book adds to current educational debates with an African lens. It engages inclusive education from multiple lenses of curriculum content, classroom pedagogy and instruction, representation, culture, environment and the socio-organization life of schools, the pursuit of equity and social justice and the search for educational relevance. It is opined that Africa cannot be left behind in rethinking educational inclusion in ways that evoke critical questions of power, equity and social difference. The question of leaner’s identity in terms of class, gender, sexuality, (dis)ability, language, ethnicity and race are equally consequential for African schooling and education. When inclusion is understood as wholeness of education, then how schooling and education engage the complete learner – her/his body, mind, soul and spirit, as well as the use of local community and Indigenous knowledges in teaching and learning become relevant. Inclusion stands the risk of liberal educational agendas that simply tinker or toy with schooling and education and hardly embrace the challenge of educational change. What we need is a fundamental structural change that ensures schooling and education embraces difference while grappling with the teaching of Indigeneity, decolonization and resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.022 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".