ANALISIS VOLATILITAS HARGA DAGING SAPI MURNI DI PROVINSI JAWA TENGAH DENGAN PENDEKATAN ARCH GARCH
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
Indonesia has an important commodity for the community, namely beef including in Central Java Province. One of the foodstuffs that produce protein is beef where its usefulness is important to meet human nutritional needs. Besides being important for consumption needs, this commodity also contributes in economic terms because beef is produced by the community ranging from small to large scale. This research further leads to reviewing the volatility of beef prices in Central Java Province through the ARCH GARCH method and daily data (time series) of beef on January 1, 2020 to December 31, 2020. The results of the study showed the most appropriate model for calculating the volatility of beef prices is the model (1,2). The results of the model predictions show that the movement of beef price volatility tends to be stable when after eid al-Fitr, and it is expected that changes or spikes in beef prices in the future will be less minimal.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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