The Factors Influencing Farmers’ Adoption of Agricultural Technology Innovations in Pacitan Agricultural Technology Park, East Java, Indonesia
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 Technology Park Pacitan is a venue that showcases innovations developed in Pacitan for farmers in the region. Based on data from the Agricultural Technology Park Pacitan, the interest of farmers in adopting innovations offered by the Park is very low. Moreover, it can be observed from the continued use of conventional farming patterns by some individuals. This study aims to describe the role of the Agricultural Technology Park Pacitan for farmers, and analyze the factors that influence farmer adoption of agricultural technology innovations in the Agricultural Technology Park Pacitan. The research method employed was a descriptive quantitative approach. Determination of the number of samples using the saturated sampling method was 43 respondents. The results revealed that the Agricultural Technology Park Pacitan needs to socialize innovations developed for farmers in the Pacitan Regency area, as well as those around it. Furthermore, the Agricultural Technology Park in Pacitan also serves as a forum for pilots to develop agricultural technologies that farmers can utilize. The factors that influence the level of adoption of agricultural technology innovations at the Agricultural Technology Park Pacitan are the type of innovation, methods, media, frequency of extension, perceived benefits, and suitability for needs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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