Rekam Jejak Pangeran Aria Soeria Atmadja (Bupati Sumedang Tahun 1883-1919)
Bibliographic record
Abstract
Pangeran Aria Soeria Atmadja was a Sumedang’s Regent figure who came from a royal family. When he became Sumedang’s Regent in 1883-1919, he received a lot of prizes from Netherland Colonial Government. This research highlighted the question, “How was the Role of Pangeran Aria Suriaatmadja as a Sumedang’s Regent in 1883-1919?”. During his leadership, Pangeran Aria Soeria Atmadja issued various policies to the Sumedang’s people, such as school development policy in the entire villages of Sumedang Regency, planting Palawija policy, the making of protected forest policy, themaking of upper-class bank and coaching for Sumedang civil servant dan its people. During 32 years of leadership, the prosperity of Sumedang’s people increased and had lots of impacts. Nevertheless, it is interesting to conduct a deeper study of Pangeran Aria Soeria Atmadja’s policies that brought prosperities to Sumedang’s people. This study is expected become a reference for other researchers that will conduct a study about the Role of Pangeran Aria Soeria Atmadja when he became Sumedang Regent because there are lots of aspects that have not explored further by the researcher.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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 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".