What is the Cost? The Effect of the Post-Independence Government on Public Sector Performance in Namibia
Bibliographic record
Abstract
The end of colonisation in Sub-Saharan Africa did not bring the expected welfare to many. Several governments stumbled with public resource mismanagement, which created room for corruption and other malpractices (Good, 1994: Maipose, 2000: Ncholo, 2000: Tsatsu, 2015). This article examines the performance and efficiency of the Namibian government interventions between 1990 and 2020. The findings reveal that some indicators showed significant improvement, while some did not record any substantial improvement. Decent performance was recorded in government policies to reduce inequality and poverty. Good performance is also seen in policies improving education attainment, while policies to reduce unemployment performed poorly. Other indicators have shown mixed results. The results also revealed the worst performance during the first five years after independence. The period between 2016-2020 recorded poor government performance in most of the indicators. The findings suggest a need to improve performance and efficiency in the public sector.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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".