Status Keberlanjutan Pengelolaan Das Mandar Di Sulawesi Barat, 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
Mandar River is an important cultural entity for the Mandar community in West Sulawesi, in fact, faces threats such as floods and landslides. To support the government's efforts in achieving the Sustainable Development Goals (SDGs), the management of Mandar Watershed needs to integrate the ecological, economic, social, institutional, and technological dimensions. This study aims to: (1) measure the status of the sustainability of the Mandar Watershed; and (2) identify the factors that influence the sustainability of the Mandar watershed management. This research used the method of observation, interviews, documentation study, and literature review. Data analysis used a descriptive analysis approach and Multidimensional Scaling (MDS) analysis with analysis tools suc as rapfish / rapDASMandar. The results showed that the sustainability status of watershed management in the ecological dimension was quite sustainable; on the social and institutional dimensions, it is categorized as less sustainable; and in the economic and technological dimensions, the upstream and middle Mandar sub-watersheds are categorized as less sustainable. The multidimensional sustainability status of Mandar watershed management is categorized as less sustainable. There are 13 factors that need attention to improve the sustainability status of Mandar watershed management, especially in the technological, institutional, and social dimensions.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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