Performance Assessment Framework for Small Water Systems: Case Study in British Columbia
Bibliographic record
Abstract
This study presents a performance assessment of small water systems (SWSs) through the lens of drinking water quality management. The performance assessment is based on five criteria: treatment and disinfection; water quality issues; operators’ capabilities; infrastructure and funding; and operational characteristics. Each criterion is composed of six performance indicators. Each indicator is rated using one of the three qualitative classes, namely, good, average, and poor. The qualitative classes are later transformed into numerical scores, which are then aggregated using a weighted sum method. The aggregated scores divided by a maximum possible score in the respective performance criteria give the overall performance level for a particular water system. The proposed performance assessment framework has been demonstrated using data collected from 66 SWSs representing three types of local bodies (regional districts, municipalities, and improvement districts) in British Columbia, Canada. The respondents included operators, engineers, managers, and technicians. The results showed the overall performance level of water systems of regional districts was comparatively better, followed by municipalities, and then improvement districts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".