Integrated water and land management research and capacity building priorities for Ethiopia: proceedings of a MoWR/EARO/IWMI/ILRI international workship held at ILRI, Addis Ababa, Ethiopia, 2-4 December 2002
Bibliographic record
Abstract
The workshop emerged from a joint mission of the International Water Management Institute (IWMI) and the International Livestock Research Institute (ILRI) to Ethiopia in February–March 2002, at the invitation and enthusiastic support of various Ethiopian government ministries and other institutions for developing long-term collaborative research and capacity building in integrated water and land resources management. The workshop brought together about 80 professionals, both researchers and practitioners drawn from a wide range of institutions in Ethiopia, in addition to the international participants. Twenty-five papers were presented and discussions conducted on land and water management research. Well-targeted and good quality research is essential to develop Ethiopia’s natural resources and to reduce poverty and promote development. A range of important research issues were identified, which will be useful for guiding future research projects in Ethiopia. These research issues need further prioritising. Carrying out the research will require co-operation among Ethiopian research institutions and partnerships with federal ministries and regional governments, and can be strengthened through partnerships with international institutions. They can facilitate collaborative research among the countries sharing the Nile and other river basins, and exchange of experiences with other regions and basins. The workshop made it clear that there is considerable research and development capacity in Ethiopia. However, this capacity is fragmented among diverse institutions. Integrated water and land management research must be interdisciplinary, including the social, physical and biological sciences. The human, institutional and financial resources for carrying out research are well short of the level required to meet the needs of the country.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".