Study on Buffalo Farming Management System in Sijunjung Regency
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%).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".