Pengelolaan Lingkungan dan Kondisi Masyarakat Pada Wilayah Hilir Sungai
Bibliographic record
Abstract
River by nature is a unity, but there is a tendency to separate river management based on administrative areas. River is also related to the community living in its surrounding area. This paper discusses watershed issues related to the management and community condition, especially within the framework of interrelationship between upstream and downstream areas. Department of Public Works as the institution was responsible for the national water resource management has proposed the idea of "one river one plan one management." However, in reality this idea is not consistent with the regulations issued by the government, especially in the context of regional autonomy. This paper also attempts to illustrate the condition of settlement and community condition in Bale Kambang and Kampung Pulo as downstream areas. The findings of this study suggest the needs for an integrated management for various watershed areas, with the understanding of community condition in those areas. The findings provide inputs for planning and managing of urban areas by putting an emphasis on the interrelationship between various areas of wathershed, as well as the physical environment of watershed and the community condition of the surrounding communities.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.023 | 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".