The Memorandum of Understanding (MOU) between the University of Zambia and the University of Michigan: Conception and Subsequent Implementation Goals
Bibliographic record
Abstract
In April 2008 the University of Michigan and the University of Zambia signed a Memorandum of Understanding (MOU) that approved a cooperative agreement to foster the development of a collaborative research and exchange program focused on concepts of integrated water resources management (IWRM) to be applied in the Zambezi River Basin in Southern Africa and the Great Lakes Basin in the U.S. The Zambezi River Basin, home to nearly 40 million people, is the largest river basin in Southern Africa covering 1.37 million square kilometers in eight countries. The Great Lakes Basin watershed is home to about 40 million people living in eight U.S. States and two Canadian Provinces and covers over 1/2 million square kilometers.
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 | 0.041 | 0.102 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".