Public Services Versus Covid-19: Participation of Villagers in Public Service based on E-Government in Pandemic
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
This article aims to show how to improve public services' capability and accessibility through e-government for villagers to reduce the rate of spread and infection of Covid-19 and as community participation in alternative ways of getting public services, Electronic Government (e-Gov) or digital government exists. Electronic government (e-Gov) itself provides information and public services, business affairs, services related to governance, et cetera by using information technology tools. However, the obstacles in this e-government-based public service are in applying the information system and the knowledge and access to information on this e-government-based public service. The digital divide is found in rural communities, often uninformed and reluctant to experience new technologies. Therefore, a community service program is needed, namely Improving Community Capability and Accessibility in Utilizing E-Government Public Services for villagers in the Middle of the COVID-19 Pandemic Outbreak in Semarang Regency.
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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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it