A Multilateral Model for Decolonising African Educational Leadership: Addressing Conceptual Problems and Integrating the Past-Present Continuum across the Local-Global Axis
Bibliographic record
Abstract
In studies on educational leadership across African countries, researchers are using different concepts that do not have the same meanings or similar histories, including variations in involvement by local, national, and international leaders. In the first part of this article, we problematize conceptualizing globally minded school leadership in Africa and attempt to understand the way local and global actors apply these concepts to and from within African contexts. In the second part, we present research working at the intersection of the NGO-Postcolonial border working with educational leaders in Madagascar. The findings show that early childhood education makes a difference on school readiness and that quality matters. In the third part, we propose a multilateral model for decolonising educational leadership in Africa by working on the past-present continuum and holding the tension between "border-specific" and "cross-border" perspectives.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".