Buffalo in Borneo, Sarawak: A Review of the Current Status of the Indigenous Buffalo Industry
Bibliographic record
Abstract
The Malaysian water buffalo, Bubalus bubalis, has traditionally been important livestock for the local people of Sarawak. Buffalo, other ruminants, and non-ruminants are essential for the livestock industry as they supply the largest source of protein for the entire nation. Cattle provide the largest production in the livestock industry at 0.2%, followed by other ruminants, including goats (0.1%), sheep (0.04%) and buffalo (0.03%). Water buffalo, or 'kerbau sawah' as it is locally known, is an overlooked animal compared to other livestock. Amidst the growing demand for beef within the domestic consumer market, the buffalo population in Sarawak has risen over the past 5 years from 5,396 to 6,205 heads in 2019. However, the self-sufficiency level (SSL) of cattle and buffalo beef has dropped from 26% in 2013 to 21.6% in 2019 despite the rising demand for local produce. Malaysia continues to import frozen buffalo beef from India and live bovine from other countries in order to meet domestic demands and support the growth of the local buffalo industry. Due to this, the Department of Veterinary Services (DVS) Sarawak introduced a buffalo yard program ('Natad Kerbau') to assist the state smallholder farmers in managing their buffaloes better. This paper focuses on describing the current status of buffalo production in Sarawak, its important functions (including provision for food security) and future prospects of B. bubalis in the livestock industry of Malaysia and Sarawak in particular.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".