Quality of Civil Society Participation in National Education Sector Policy Processes: A Case Study of Mali
Bibliographic record
Abstract
This thesis explores the participation of Mali's civil society actors in policy design and implementation processes relating to Mali's education sector program, PRODEC (Programme Décennal de Développement de l'Education). Drawing from scholarly literature, this research applies concepts of civil society, governance of education and participation to civil society actors in their support, negotiation, interpretation, and contestation of national education sector policy. The timeframe is from the early 1990s to the mid-2000s. The study examines the dramatic changes of that period, including the expansion of community schools and the introduction of education decentralization. Particular attention is paid to: the variation in experiences between different types of civil society actors; the relationships of civil society actors with government and with international donors; and the relationships between civil society actors themselves. The study identifies six major factors which influence the quality of civil society actors' participation in policy design and implementation processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".