Community engagement in water management to enhance sustainability: A case study of Bangkachao, Thailand
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
Bangkachao, the important and largest greenspace community near Bangkok, has been threatened by several water issues such as increasing salinity, polluted water, and floods. The study conducted a participatory action research (PAR) project on water management with community participation, aiming to solve these problems from the bottom up. The research shows that community engagement in the management of water resources can enhance sustainability. The collective efforts of the research group and local stakeholders proved very effective in resolving water management issues and creating knowledge. They aided in knowledge sharing during and beyond the project period. The evidence-based argument is essential for making change. Tangible results include a significant change in the main watergate management to solve water problems and the creation of an accurate map of existing canals and water gates around the island, which support local understanding of water management and regular monitoring enhanced by statistical data and technical tools. Human and social capital gains continue to be seen in longer-term work and continued efforts to monitor water problems.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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