Evaluation of finger millet genotypes against three major diseases in east and south eastern coastal plain zone of Odisha
Bibliographic record
Abstract
This paper investigates the socio-economic distribution of farm youths engaged in agripreneurship. The study was conducted in five agro-climatic zones of Odisha state. The purposive random sampling method was followed for the selection of respondents which includes 250 farm youths from five districts. The data was collected with the help of self-structured interview schedule and focused group discussions. The findings of this study revealed that around three quarter of farm youths are of more than 30 years of age with majority of them attaining higher secondary education and more than three fourth fourths of them have small operational holdings. Most of the respondents attain medium level of annual income and training exposure with greater access to social media. This study provides a reasonable coverage of key socio-economic dimensions that will help the policy maker while formulating any strategies for the farm youth who are extremely important target group for agricultural development perspective in rural areas, as their dissociation from farming will deprive the sector from next generation successor.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".