Study on Identification of Micro Environment Factors in Fattening Business Development Bali Cattle in Barru Regency South Sulawesi Indonesia
Bibliographic record
Abstract
The direction of development of the livestock subsector especially Bali cattle commodity, is the development of the livestock industry managed and developed by farmers with the aim of increasing productivity, population, income and welfare of farmers. This article purposes at presented to identify of microenvironmental towards the development of Bali cattle fattening business. The research was carried out in Barru regency South Sulawesi Province. The sample of farmer include 76 respondents take using the systematics sampling. Survey, interview, and observation methods were applied to gather the data. Data were examined with descriptive statistics. The research was built based on feed units, health units, housing units, and labor units. The outcomes of this study have shown that the micro environment supports progressively for the sustainability of Bali cattle fattening business, so it is hoped that in the future it is necessary to develop a farmer empowerment strategy with government support in implementing the development of the Bali cattle fattening business.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".