An assessment of the effects of environmental health factors and household demographics on the operation and maintenance of the Biosand Filter and diarrhea health burden in rural Guatemala
Bibliographic record
Abstract
Public health policy and environmental interventions must recognize the complex interactions that influence individuals' contact with disease-causing pathogens and how household habits may impact adoption/acceptance of new technology.Understanding these interactions and habits is important for prioritizing expenditures and initializing programs.In August 2008, a water filter construction program was initiated by a non-profit organization near Playa Grande, Ixcn, Guatemala.The program has utilized the laboratory-and field-qualified household Biosand Filter, promoted by the Centre for Affordable Water and Sanitation Technology (Calgary, Alberta, Canada).Upon review, the organization noticed households had varying levels of proper filter operation and maintenance as well as varied diarrhea health response.This research would not have been possible without the collaboration of many individuals to which I would like to extend my thanks.To Gerber Perez, a cultural liaison, passionate worker and true friend.To Roduel and Hilda Perez,
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.
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 | 0.002 |
| 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".