Development Of A Feasibility Framework For Trickle Fill Water Distribution Projects
Bibliographic record
Abstract
Lacking economies of scale, most Canadian small water systems do not have the financial capability to maintain sustainable operations, resulting in hundreds of drinking water advisories every year. In Alberta, an alternative to small rural systems has been emerging due to government investment in regionalization. With the “trickle fill” option, treated water is provided from regional supplies via small-diameter piping. This study outlines a feasibility assessment framework for trickle fill regionalization and conducts a case study for an area in Rocky View, Alberta. The case study develops a concept design and calculates the corresponding average end-user cost to be $165.03/month/home with ~80% of the cost due to regional system owner rates. While the study finds that the option is more sustainable than existing systems in the case area, either subsidies or a reduction in connection fees would be required to make it affordable for homeowners.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".