A Study on Knowledge Gain, Adoption and Attitude towards Training of Farm Women in Port Blair, Andaman
Bibliographic record
Abstract
An Ex Post Facto study was conducted in four clusters of villages in South Andaman block, Port Blair of South Andaman district. The respondents comprising of 240 farm women who had undergone three days training from KVK-CARI, Port Blair and also untrained (30 each in both category) on the subjects/enterprises namely mushroom cultivation, kitchen gardening, layer farming and fresh water pisciculture were randomly selected to infer the knowledge gain, adoption and the attitude towards the training. The respondents in the trained category gained medium level of knowledge, adoption and attitude towards training, whereas those of untrained gained low level. Among the total respondents in the trained farm women category, more than half (63.34%) showed medium level of adoption followed by high (23.33%) and low (13.33%), whereas in the untrained farm women category a little more than half (50.84%) showed low level of adoption followed by medium (28.33%) and high (20.83%) in all enterprises. It could be noticed that among the total respondents in the trained women category, more than half (60.83%) showed medium level of attitude towards training followed by high (27.50%) and low (11.67%), whereas in the case of untrained farm women a little less than half (48.33%) showed low level of attitude towards training followed by medium (30.00%) and high (21.67%). The finding will be of immense help in modifying the training process and regulating the variables to make them effective. It will also help the trainers in planning and designing the programmes on scientific lines.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".