Reforming a state in formation: from Structural Adjustment Programs to Results-Based Management – lessons from two decades of administrative reform in Cameroon
Bibliographic record
Abstract
This article sets out to examine, from a socio-historical standpoint, the administrative change process specific to Cameroon. By analyzing the mechanisms and processes driving the administrative reforms put in place since the end of the 1980s, the study pinpoints the regularities characteristic of the national trajectory of administrative reform in Cameroon. The article is divided into three sections. The first presents the analytical approach chosen. The second part presents the various repertoires of the reforms put in place, as well as an overview of the main programs. The third, finally, sets outs the lessons drawn from the study. Points for practitioners The article explores the dynamic relationship between the production of administrative reforms and the impact of reforms on the politico-administrative order in Cameroon. It is thus demonstrated that while reform has become considered over the years as a specialized know-how and an objective framework for the construction of public action, it continues to be plagued by rationales that are foreign to the organizational purpose, and comes across as the “art of doing.”
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".