BENTUK KELEMBAGAAN DAN POLA PEMBIAYAAN LAND BANKING PUBLIK DI INDONESIA
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.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".