Bibliographic record
Abstract
Uganda is one of the African countries that have decentralized its education system. This country-specific paper examines the implementation process and the way forward to decentralizing education in a developing country. There have been gains and challenges from decentralization and processes linked to it. While the implementation of Universal Primary Education in 1997 increased significantly school enrollment aas well as the number of classrooms; on the other hand, student-teacher and student-resources ratio also increased, and corruption and mismanagement of resources remained a challenge. Uganda est un des pays d'Afrique qui ont décentralisé leur système d'enseignement. Cet article spécifique sur un seul pays examine les processus d'exécution et la façon d'avancer la décentralisation dans un pays au cours de développement. Il y a des gains et aussi des problèmes provenant de la décentralisation et des processus qui l'accompagnent. L'application de la loi "Éducation primaire universelle" en 1997 a augmenté considérablement l' effectif des écoles et le nombre des classes mais le rapport élèves/instructeurs ainsi que celui entre élèves et ressources ont aussi augmenté, et la corruption et la mauvaise administration des ressources constituent encore des obstacles.
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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 | 0.005 |
| 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 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| 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".