People Participation In Community Works And Their Drought-Related Problems In The Man River Basin
Bibliographic record
Abstract
This research paper examines the role of community participation in drought mitigation and assesses villagers’ perceptions of government drought relief programs in the Man River Basin. Utilizing primary data collected from 400 respondents across the Satara, Sangli, and Solapur districts in 2024, the study evaluates awareness, effectiveness, and impact of key government initiatives such as the Integrated Watershed Development Program (IWDP), Jalyukt Shivar Abhiyan (JSA), Indo-German Watershed Development Program (IGWDP), NABARD Holistic Watershed Development Programme, and others. The study also investigated the socio-economic challenges faced by rural populations during droughts, including water scarcity, crop failure, fodder shortages, unemployment, and health risks. Findings revealed that there are sharp disparities in community participation and program effectiveness across districts of the Man river basin. The study also found significant structural vulnerabilities which are persisting in Man river basin. The study arrived at conclusion that there is need of strengthening local governance, enhancing community engagement, and improving communication strategies to foster drought resilience.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".