Problems in Using Agricultural Information from Television among Farmers in Malaysia
Bibliographic record
Abstract
Agriculture today must meet the demands of modernization, which include creating productive and innovative products. The success of this sector is aided by the evolution of technologies such as Information Communication Technology (ICT). Though television is categorized as traditional media, it is still considered an essential component of ICT and has been proven to play a crucial role in agricultural development, particularly on its extension process. This paper focuses on the problems faced by the agriculture community in receiving relevant information through television. This is a quantitative study which uses a questionnaire to obtain the data needed. A total of 400 respondents among farmers from four selected states in Peninsular Malaysia were surveyed. The data reveals that the main problems faced are few opportunities to watch television, short air times, and the fact that agriculture programs are not the farmers’ main preference in terms of what to watch. Based on the results, a related discussion is conducted and recommendations highlighted; these can assist concerned parties in strengthening their extension strategies.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| 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".