SOLAR ENERGY CONTRIBUTION IN DIGITAL INDIA & CHALLENGES OF CONSUMER AWARENESS TO SOLAR ENERGY
Bibliographic record
Abstract
Solar energy is not harmful as well as easier to use. But in India consumer awareness is the greatest challenge to solarenergy. It is a great need to aware everyone about this technology so that uses of this resource of energy can be increased.Solar energy can contribute in Digital India dreams of Indian Government. It can complete electricity requirements ofDigital India to spread internet up to villages & rural areas.The increasing prices for petroleum products, projection that petroleum resources would be exhausted in a relativelyshort period of time and the use of fossil fuel resources for political purposes will adversely affecting worldwide economicand social development. In addition, global warming caused largely by greenhouse gas emission fromfossil fuelgenerating systems is also a major concern. These problems can be overcome by alternative sources that are renewable,cheap, easily available, and sustainable. And the solar energy is best promising source. But unfortunately this source ofenergy has been get neglected.In this paper researcher has aimed to find out the consumer aware of solar energy, solar energy systems and its uses aswell as its contribution for digital India
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".