Disposable Pattern of Black Gram in Jhansi District of Uttar Pradesh
Bibliographic record
Abstract
India total pulse production contributing a quarter of world’s total production which make them world’s largest producer of pulses. While one-third of world’s total acreage under pulses is in India, Indian population consumes 30% of world’s total pulses in global production. Chickpea, pigeonpea, mungbean, uradbean, lentil are important pulses crop contributing 39 per cent, 21 per cent, 11 per cent, 10 per cent, and 7 per cent to the total production of pulses in the country. The study suggested that modern market infrastructure may be built up with the public-private partnership to bring efficiency in the marketing of Black gram as well as other pulses. The study suggested that Black gram respondents may prefer cooperative/group marketing for sale of their produce in the distant markets.
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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 | 0.000 |
| 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 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".