Pendampingan Pengelolaan Website Nagari Guna Mendukung Keterbukaan Informasi Publik di Kenagarian Batipuah Baruah
Bibliographic record
Abstract
The team ensures that the program is participatory and on target by dialogue with the community and Nagari Batipuah Baruah government. From this dialogue found the essential issues related to public information disclosure. Among them, the understanding of the Nagari Batipuah Baruah apparatus regarding Information Commission Regulation No. 1 of 2018 concerning Village Public Information Service Standards that have not been developed; also, the capacity of the Nagari government apparatus that has not been fully trained to enter and update information and data on the Nagari official website. The solution to this problem is to carry out activities facilitated with assistance directly involving the Nagari Batipuah Baruah government and other related parties. This community service program aims to increase the knowledge, understanding, and ability of the Nagari Batipuah Baruah government to implement village public information services and optimize digital platforms so that public information disclosure can be achieved. The method of implementing the activities is socialization, Focus Group Discussion (FGD), and training entirely run offline by complying with health protocols. After all the methods were implemented, the Nagari Batipuah Baruah government apparatus received a positive response from the Musyawarah Kerja Sekretaris Nagari (MKSN), which responded to the issue of public information disclosure by holding a meeting with the Nagari Secretary throughout the Tanah Datar Regency. In addition, the problem with the Nagari Batipuah Baruah website, which previously did not appear on the Google search page, had to be searched manually by typing www.batipuahbaruah.web.id has also been resolved through this service program.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.089 | 0.019 |
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 source (direct Gemma or distilled Codex), 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".