Empowering Tribal Community Through State Sponsored Programmes: A Sociological Analysis Of Valmiki Abhivruddi Nighama In Karnataka
Bibliographic record
Abstract
This research explores the role of the Valmiki Abhivruddi Nighama (VAN) in empowering the tribal community in Karnataka through state-sponsored programmes. The study adopts a sociological lens to examine the effectiveness of VAN in improving the socio-economic conditions of the Valmiki tribe, focusing on areas such as education, skill development, economic support, and health. By analyzing the impact of these programmes on tribal livelihoods, the research highlights the challenges and successes in promoting sustainable development within the community. Statistical data from government reports and surveys are used to provide empirical evidence of VAN’s contributions to enhancing literacy rates, employment opportunities, and household income among the Valmiki tribe. The study concludes by offering recommendations for refining these state interventions to ensure more inclusive and sustainable growth for the tribal population of Karnataka.
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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 | 0.000 | 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 | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".