Sustainability Assessment of Randullabad Watershed in Satara District of Maharashtra State, India
Why this work is in the frame
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Bibliographic record
Abstract
Sustainability of watersheds being a major issue in India Kakade, 2017 proposed a new comprehensive framework and methodology for sustainability assessment of watersheds, which would also help design sustainable watershed projects. This new methodology was validated undertaking in-depth critical assessment of an integrated watershed development project implemented by Randullabad village Grampanchayat (Note 1) under the facilitation of BAIF (Note 2). Project of 836 ha area and 394 households was implemented during 2008 to 2013. The assessment was carried out to find out sustainability of social, economic and ecological domains at the baseline (2008), at project completion (2013) and five years after completion (2017-18). The indicators used in the framework and methodology by Kakade, 2017 was validated and the final framework emerged through the study has been presented in the paper. Rising trends of sustainability scores in all three domains were observed from inception to completion of project and also five years after completion. Key contributing factors for sustainability include the project design, community empowerment, post-project maintenance, governance and role of facilitating organizations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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