The CARA Network: Building Latin American Capacity in Hydrogeology and Water Resource Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Ground water supplies the vast majority of water supply in Central America yet, prior to the last 15 years, there have been only a handful of appropriately educated hydrogeologists in the region. The CARA Network ( http://www.caragua.org ) began in 1999 with the intention of building capacity in hydrogeology and water resource management in Central America. Capacity is built at national (public) universities through applied two‐year M.Sc. programs with related teaching and research. Each university is strengthened through the creation of new faculty positions, faculty training, the procurement of equipment/books/software, and the dedication of infrastructure. To date, the CARA M.Sc. programs have trained (or have in a current program) almost 160 Latin American hydrogeologists at the M.Sc. level. CARA short courses and workshops have trained over 2000 water‐sector professionals in the region in a variety of water themes related to groundwater and water resource management.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it