Sericulture Industry - A Boon for Rural Poor: Special Focus on Chittoor District of A.P
Bibliographic record
Abstract
Agro-based cottage and village industries are a must for creating employment opportunities in the village itself. They play a strategic role in strengthening industrial as well as agricultural linkages. Sericulture has been developed in India as an agro-based cottage industry with considerable employment potential. A very significant characteristic of this industry is its ability to provide gainful occupation for a sizeable section of rural mass without dislodging them from their homesteads. Sericulture industry is considered a boon for rural poor, especially in the drought-prone areas. It provides an excellent nexus in promoting integrated development of agriculture and industry and also in transforming a stagnant rural economy into a dynamic and buoyant industrial economy. The role of sericulture in the rural economy can be judged on different grounds like employment generation, lucrative income and income equilibrium. Against this backdrop, a conceivable attempt is made to analytically examine the growth and development of sericulture industry in Chittoor district so as to arrive at concrete inferences. In view of the high employment potential and remunerative income generation, sericulture has come to be regarded as one of the means of alleviating rural poverty and ushering in rural prosperity in the district. However, the present scenario of sericulture in the State in general and Chittoor District in particular reflects certain problems and drawbacks. The growth rate in the area under mulberry cultivation is depleting sharply from year to year due to lack of rainfall during monsoon season and consequent drought conditions; consequently the production of cocoons is by and large sagging. The industry at present is confronted with a plethora of problems in production, finance and marketing. There is an urgent need to allocate adequate funds and implement the developmental schemes and programmes more effectively to enliven the sericulture industry in the district.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".