Evaluation of education and training in water and sanitation technology: case studies in Nepal and Peru
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
A significant constraint to effective and sustainable water and sanitation provision is the “lack of\ncapacity at the local level” (WHO, 2010), however there is uncertainty in how the efforts of capacity\nbuilders should be measured, and improved (Brown, et al., 2001). The Centre for Affordable Water and\nSanitation Technology (CAWST) and the Institute of Non-profit Studies at Mount Royal University\n(MRU) has collaborated to address this issue. An evaluative framework, based on the Kirkpatrick model\n(Kirkpatrick, D.L. & Kirkpatrick, J.D., 2006) was developed to assist capacity builders in the water and\nsanitation sector to capture and interpret the results of their education and training activities. The\nframework was applied to evaluate CAWST’s training activities in Peru and Nepal. The findings provide\nnew perspectives on the impacts of CAWST’s work, and provide insight into how the framework can be\nvaluable to other capacity building organizations.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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