Ecohydrology in south America and the Caribbean: A summary of research and coordination activities (1996-2001)
Bibliographic record
Abstract
Ecohydrology research projects undertaken, within the framework of the International Hydrological Programme, in Latin America and the Caribbean are presented, together with contact details of the participants. These include investigations by national research organizations in Argentina, Bolivia and Brazil, as well as collaborative projects involving Brazilian researchers and colleagues from Germany, France, Canada and USA. Details of other German, French and USA projects undertaken in the region are also given. The regional co-ordination of ecohydrology projects, undertaken by the author in co-operation with a working group with members from Argentina, Cuba,. Guatemala, Guyana and Paraguay has involved participation in international meetings, contributions to conference proceedings and involvement of research workers from Latin America in a UNESCO IHP V advanced study course in ecohydrology. Budget constraints and other factors limited or precluded research institutes in several countries in the region from participating more fully in the 1996-2001 programme. However, it is hoped that a more comprehensive and better integrated series of ecohydrological research projects will be undertaken during phase 2. It is anticipated that this will lead to a deeper knowledge of the aquatic ecosystems of the Latin America / Caribbean region and to sustainable development of its natural resources through application of ecohydrological principles.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.020 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".