BENTUK KELEMBAGAAN DAN POLA PEMBIAYAAN LAND BANKING PUBLIK DI INDONESIA
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
The application of land banking is likely to be conducted in Indonesia as well as its success in various countries in solving various land-related problems. This study aims to formulate an institutional set up and funding scheme for land banking in Indonesia. This study utilized an adoption of Delphi method to compile and interprete expert opinions, in addition extensive review of literature and legislations were also conducted. This study recommends the set up of public owned land banking company that consist of main company and subsidiary company. The main company is 100% owned by the government. The subsidiary company is jointly developed with private sector and community. The main company is assigned to bank land for public purposes (eg. infrastructures, public housing, facilities) and not for profit. The subsidiary company is assigned to bank land for development and giving opportunity the land owners to get share and profit. The set up land bank company is funded by local budget. Profit from the subsidiary company can be reinvented to the main company.
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.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it