PENGGUNAAN BUKU BERGAMBAR TENTANG CARA BETERNAK DOMBA UNTUK MENGEMBANGKAN KAPASITAS PETANI MISKIN DI DUA DESA TEPI HUTAN DI KECAMATAN UJUNG JAYA, KABUPATEN SUMEDANG, JAWA BARAT
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
Building the capacity of the poor farmers that were living in two near-forest villages in Ujung Jaya sub-district, District of Sumedang, West Java was one of the activities accomplished to help such farmers raise indigenous Garut sheep. These activities included on site farmer training, monthly farmer meeting, supervision and other backstopping supports. These support services were provided before and after the sheep provision to the cooperating farmers. In this training, copies of an illustrated sheep raising manual covering several aspects of sheep rearing from feeding to marketing were tested with the participating farmers and were later given to them as reading materials. In this conjunction, two farmer groups from Palasari and Sukamulya villages were involved in the training sessions. At the opening session, the two farmer groups were tested to determine their prior knowledge about sheep rearing. After the pretetst, all participating farmers were individually given a copy of the sheep raising manual and was asked to read the manual for about 25 minutes. Next, they were asked to close the books and were given posttests. The results pointed out that the participating farmers improved their knowledge about sheep raising, though statistically not significant. Other tests accomplished on the data obtained, showed that the participating farmers’ education correlated positively with their knowledge gains regarding sheep raising; whereas their ages and number of years since graduation correlated negatively with their knowledge gains about sheep raising.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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