Role of Mass Media in Dissemination of Agricultural Technology among the Farmers of Jaffarabad District of Balochistan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Agricultural extension is essentially a message delivery system organized to convey the latest findings ofagricultural research to farmers. Effective communication is therefore, the prime requirement in extension work. This study conducted during 2013 attempted to examine the role of mass media in dissemination of agricultural technology among the farmers of Jaffarabad district of Balochistan province of Pakistan. The results revealed majority of the respondents were male (80%), belonged to the age group of 31-40 years (45.35%), and with formal education of (31%). Information regarding agricultural farming revealed that three-fourth (75%) of the respondents owned personal land, medium size of farms (12.5-50.0 acres) were more common (52%). Majority (70.93%) of the respondents perceived that the sources of media used in the area are highly conventional. About two third (66.28%) of the respondents perceived that the sources of media for agricultural information was highly accessible. Relative majority of the respondents (40.70%) supposed to prefer listening to agricultural programs between 8 pm to 12.00 am; 33.72% respondents showed preference for listening to agricultural programs from 4.00 -8.00 pm. Majority (70.93%) of the respondents considered the information receiving through mass media is highly relevant in solving agriculture problems. Majority (41.86%) of the respondents reported infrastructural development due to agricultural information received through mass media and 22.09 percent found that agricultural information received through mass media was helpful in capacity building. Regarding major obstacles in receiving information, 31.40 percent respondents reported power failure, followed by high cost (24.42%), and poor signals (12.79%).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it