Design and Performance for A Novel Low-Tech Water Filter System
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
A low-tech water treatment system with a novel configuration is described which delivers safe water (>3 log-removal of E. coli), has low cost, provides safe water in quantities for a household for substantial time periods, is easy to maintain, robust against breakage, and avoids recontamination. Due to the unique design, the Guelph Water Filtration system (Guelph Water Filter) remains functional for periods substantially longer than previous technologies, providing ~6 years for delivery of treated water at flow rates exceeding 1 L/hr (for low turbidity (0.05 ~ 1.00 NTU) source water). The ceramic filter components of the system are easily replaceable in the filter housing and the Guelph Water Filter is feasible as a village-level production/employment opportunity. The long-term performance of the ceramic filter component of the Guelph system improves longevity of performance by reducing clogging and enables two filter elements to be used in a single filter housing (doubling the surface area through which filtration occurs). Placing the filter in a large reservoir (pail) also significantly reduces the frequency of the need to refill raw water (alternative filter designs require refilling and monitoring multiple times per day).
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 | 0.000 | 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 | 0.001 |
| 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