Study of the Mobile Phone Technology in Creating Awareness among Small Farmers of Sindh Province
Bibliographic record
Abstract
Information and communication knowledge have played a positive role in different segments of the society such as in agriculture education and community development. Now a days most of the farmers are using these technologies especially mobile phones which have given a fruitful result to community. This study was conducted in Sindh Pakistan and survey was conducted in district Jamshoro Taulka Manjhand. Total two hundred respondents were randomly selected for data collection. The study indicated that 90% of the respondents possessed their personal mobile phones and 70% of the respondents utilized mobile for communication with their friends. While 75% of the were of the opinion asked that mobile phones have made their lives easy. However, the results showed that 72% did not contact with any agriculture officer and similarly not contacted with customers to sell their product. Furthermore, study revealed that 74.5% of the respondents replied that they utilize internet on mobile phones. Overall result indicated that farmers are not getting any benefit or increase their income, save time and energy by using the mobile phones in their places.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".