Ceramic Water Filters as a Response Technology to Geo-Hazards
Bibliographic record
Abstract
Geo-hazards, a collective term for earthquakes, floods, windstorms, famine and drought, are intensifying with time and are obstacles to attainment of sustainable development. In particular, issues of availability of safe water are major disruptive elements causing the spread of diarrheal diseases during, and post, these geo-hazard events. Given that ceramic water filters (CWFs) have been shown to effectively remove E.-coli (and, by similar attributes, is effective in the removal of cholera), CWFs as a Point-of-Use (POU) technology are described as an effective option for the post-disaster phase of geo-hazards. As described herein, important dimensions of CWFs are provided, showing they can be stored effectively without suffering deterioration, are inexpensive, and are an easy technology to explain to users. Pertinent rationale for serious consideration of CWFs as a post-disaster POU is provided.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".