Public private partnership for efficient and sustainable water supply development in 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
More than 90% of the water supply companies in Indonesia are in serious trouble and face bankruptcy. Water services are poor and the situation is worsening. The critical condition of the water companies is due to several factors, amongst others the lack of know-how in the company, the political influence in human resource management and on water price. These factors prevented the introduction of sound economical principles for the daily management. As the income of the company did not cover all costs, service hours were reduced and finally led to the negative spiral resulting in the current troublesome situation. Water supply company Drenthe (WMD), together with local Indonesian Government and central Government in the Netherlands, developed a long-term public-private partnership approach for the development of water supply companies in Eastern Indonesia. Customer relations and introduction of new billing procedures are of highest importance for the success of the approach. The new water companies can only operate successfully when the willingness to pay is restored and when the cash flow is secured. Important elements in this field are the introduction of a computer system supporting the monthly billing system and an innovative pilot with digital water meters.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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