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Record W2312303622 · doi:10.1061/41036(342)387

The Memorandum of Understanding (MOU) between the University of Zambia and the University of Michigan: Conception and Subsequent Implementation Goals

2009· article· en· W2312303622 on OpenAlexaboutno aff
Jonathan W. Bulkley, Imasiku Nyambe, Christine Kirchhoff

Bibliographic record

VenueWorld Environmental and Water Resources Congress 2009 · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsMemorandum of understandingStructural basinMemorandumWatershedGeographySquare (algebra)Drainage basinWater resourcesArchaeologyGeologyEcologyCartography

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.213
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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