Implementasi Kebijakan Ruang Terbuka Hijau Di Kota Dumai
Bibliographic record
Abstract
Dumai City is one of the newly expanded cities in Riau Province, where this area was originally an administrative city with three sub-districts, and is under the main district, namely Bengkalis Regency. In the past, the geographical condition of the Dumai region was a coastal fishing settlement area that developed along its coastline. The purpose of this research is to analyze the implementation, identify the inhibiting factors in implementing the policy, and identify the efforts made by the Dumai City Government in implementing the policy for Green Open Space (RTH) in Dumai City. The form of research that the author uses in writing this research is to use a descriptive method with a qualitative data analysis approach. The result of this research is that the implementation of Green Open Space Policy in Dumai City based on the Regulation of the Minister of Public Works Number 05 of 2008 concerning Guidelines for Provision and Utilization of Green Open Space in Urban Areas is not optimal
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 teacher head, 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".