Mapping and Categorizing Self-Help Agricultural Training Centers (SARTC) in South Sulawesi, 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
Self-Help Agricultural Training Centers (SARTC) is an institution established by advanced farmers with a willingness to share their successful farming experiences and create a learning community with peers.Mapping and classifying SARTC informs farming excellence and training service capability standards so that governments, communities, and farmers can obtain technologies that are more appropriate to the region's conditions.Therefore, this study aims to map and categorize SARTC in South Sulawesi, Indonesia.Data collection was conducted through interviews and observations by combining spatial analysis, interview results, and secondary data.The results showed that SARTC are spread across each geographical zone and classified based on their ability to provide training services independently.Based on this finding, SARTC have functioned as farmer-to-farmer extension institutions that are specifically organized and not individualized.The capability class of SARTC was found to be more dominant in the intermediate and primary classes.Therefore, the policy to be pursued is to upgrade the SARTC capability class to the primary class to make participatory extension more effective.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it