Bibliographic record
Abstract
This Country Assistance Evaluation (CAE) on Uganda departs from the customary approach and assesses the International Development Association's (IDA) assistance thematically. Attached to the CAE is a report on the findings of a participatory evaluation, which solicited stakeholder perceptions of Bank assistance. Participant focus groups were organized according to government, civil society, nongovernmental organization, private sector, and donor affiliations. This report finds that Uganda is among the top economic performers in Africa. The IDA has been a catalyst for other donors and has made a significant contribution to the country's development outcomes. Sixty-two percent of IDA projects and sixty-three percent of lending have had satisfactory outcomes, and about one-quarter of the portfolio has had substantial institutional development impact. Ugandan portfolio ratings were about as good as or better than the average ratings for Africa, but were poorer than for the Bank and IDA overall. Major challenges for the future are to reduce poverty disparities, promote rural development and service delivery, improve governance, and accelerate the development of infrastructure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.025 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".