Kajian Kerentanan Ekonomi Indonesia terhadap Pandemi COVID-19
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 is a serious problem for the economies of many countries, including Indonesia. Low specimen testing capacity, causing uncontrolled transmission. The Indonesian economy is faced with a recession. The economic vulnerability to the COVID-19 pandemic needs attention as a basis for making the right policies. This study aims to build an economic vulnerability index to COVID-19 and map the vulnerability of the regional economy to form priority groups for economic policies. This index consists of two dimensions: exposure and shock. It was found that the score for Indonesia’s economic vulnerability index to COVID-19 reached 56,58. Provinces in Java Island tend to have high economic vulnerability, especially DKI Jakarta. Furthermore, the economic vulnerability index has a significant negative relationship with the GRDP growth in the 2nd quarter of 2020. Through quadrant analysis, four priority groups were obtained. Priority I consist of DKI Jakarta, Banten, West Java, Bali and DI Yogyakarta which need more attention because of high possibility of shocks and structurally more exposed to the economic impacts caused by the COVID-19 pandemic shocks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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