Penentuan Jenis dan Wilayah Prioritas Pelayanan Sistem Pengelolaan Air Limbah Domestik di Kecamatan Rancasari Kota Bandung
Bibliographic record
Abstract
Rancasari Subdistrict is located in Bandung City, comprises four urban villages, encompassing 0,19 km2 with six blocks of light slum areas. Slum areas are areas that tend to have more vulnerable environmental conditions due to the minimal availability of environmental infrastructure, one of which is sanitation facilities. Based on this, Rancasari subdistrict needs to determine the type of domestic wastewater management system service and priority service areas. Determination of the service type of domestic wastewater management system is determined based on Attachment 1 of Regulation of the Minister of Public Works and Public Housing Number 4 of 2017, while priority areas are determined based on Bandung City Regional Regulation Number 5 of 2022, Regional Regulations Bandung City Number 10 of 2015, and the area of slum settlements in each village. Rancasari Subdistrict is suitable for on-site system, while the main priority area is Manjahlega Village, then Mekarjaya, Derwati, and Cipamokolan. It is necessary to develop domestic wastewater management system facilities in the main priority area in the form of development of existing communal septic tanks and communal wastewater treatment facility, as well as the closure of piped domestic wastewater disposal facility leading to the Cidurian River to stop open defecation.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".