Alternative Service Delivery in Africa: The Case for International Regional Organisations
Bibliographic record
Abstract
Alternative service delivery (ASD) is generally confined to the provision opublic services within the boundaries of a single nation state. This paper extends thisconceptualization and practice beyond a single nation state by focusing on services provided by international regional organizations (IROs), which encompass more than a single country. Recognizing that the regional approach may not be suitable under all circumstances, the papertakes a contingency approach and discusses with illustrations the conditions under which the regional or continental approaches may provide superior public services to the wider population. Three examples from the East African Community (EAC), Africa’s riparian river basins, and cross-border illicit trade of conflict minerals in the Great Lakes region are given as illustrative cases. Noting that Africa’s growing aspirations for inclusive development and rapid transformation call for better governance and quality public services, the paper ends by calling for more scholarly work and field experiments on ASD and other models applicable at local, national, regional and continental levels.
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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 | 0.031 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.023 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".