EKSISTENSI TANAH BENGKOK SETELAH BERUBAHNYA PEMERINTAH DESA MENJADI PEMERINTAH KELURAHAN (STUDI KASUS DI WILAYAH KELURAHAN KELAPA DUA DAN KELURAHAN BENCONGAN, KECAMATAN KELAPA DUA, KABUPATEN TANGERANG)
Bibliographic record
Abstract
Land the village treasury as assets of village growing based on tradition or customs living in communities. The twisted now called the village or official known as land use village, the twisted is old term born and developed in the community Java or Bengkok Village, formally known as the rights of use. Status village fights of use to the local government assets when the status of his rule chage from village into kelurahan. When turned into autonomous region district be automatically village asset to be an local governments. When village status turned info village the assets rurn into local government owned by the village and released earlier. The twisted is a village asset used to substitute salary and given as payment for village officials. After the village government to kelurahan, and so the twisted could not be us as wages. This happened in urban village Kelapa Dua and urban village Bencongan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".