Study on Buffalo Farming Management System in Sijunjung Regency
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
This study was aimed at determining the characteristics of buffalo farmers, business characteristics, breeding systems, feed management systems, reproductive management systems and marketing systems of keeping buffalo in Sijunjung Regency. This research was conducted in Sijunjung Regency, from July to August 2020 using a survey method with 60 buffalo farmers as respondents. The results showed that the profile of buffalo farmers in Sijunjung Regency in general was in productive age category (63.3%), mainly have primary school level of education (71.7%), male (68.3%) and have farming experience > 10 years (50%). Meanwhile, their business profile dominantly back-yard farming businesses (90%), still small scale (55%), livestock ownership status is “perseduaan” / result sharing with the owners (40%), and livestock functions as savings (40%). The buffalo breeding system carried out by the farmers is generally an extensive system (66.7%) where the feed system used grazing (90%) regardless of the amount of feeding. Meanwhile, the reproductive system generally uses indiscriminate natural mating (93.3%) and the marketing of livestock is still through “toke” / local traders (95%).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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