Dampak Pandemi Covid-19 terhadap Pendapatan Sektor Penyediaan Akomodasi dan Makan Minum Provinsi Bali
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
The Covid-19 pandemic has caused a decline in the economy in Indonesia. This also happened in Bali, especially in the accommodation and food service sector which is one of the largest contributors to the GRDP of Bali Province. Therefore, this study aims to find out how and how big the impact of the Covid-19 pandemic on the sector of providing accommodation and food and drink. This study uses an intervention analysis method with a step function. The results of the study show that the Covid-19 pandemic has a significant direct impact on the GRDP of this sector, which is 15.22 percent. The worst impact occurred in the third quarter of 2021, which was 48.58 percent. The impact of the Covid-19 pandemic on the GRDP of the permanent accommodation and food and beverage sector until the end of 2021. This research is expected to be able to help the government and related sector business actors to take actions that are expected to reduce the impact of the Covid-19 pandemic.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it