Economic Recovery Through Community Empowerment to Reduce Impact of the Covid-19
Bibliographic record
Abstract
The impact of the Covid-19 Pandemic Disaster is still very much felt by the economy of the people in the Special Region of Yogyakarta. The purpose of this research is to map the policies of the Provincial Government of the Special Region of Yogyakarta in empowering the community to the perpetrators of cooperative activities, micro, small and medium enterprises and to map the operational strategies carried out for the development of these policies. This study uses qualitative methods and uses secondary data from various kinds of literature such as books, articles, related journals regarding empowerment policies for actors in cooperative activities, micro, small and medium enterprises from the impact of the Covid-19 pandemic. The data analysis technique used in this research is descriptive analysis. The results of the research, it is known that the success of community empowerment policies for actors in cooperative activities, micro, small and medium enterprises in the Special Region of Yogyakarta from the impact of the Covid-19 pandemic disaster in the first quarter of 2021 experienced growth compared to the first quarter of 2020. The biggest contribution to economic growth in the Special Region of Yogyakarta in the first quarter of 2021 is the information and communication business field.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".