Assessing Participant Compliance With Point-of-Use Water Treatment: An Exploratory Investigation
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
Field studies on household water treatment and safe storage (HWTS) suggest that positive health outcomes are strongly linked to user compliance. We investigated factors that influenced compliance in a marginalized community of South India where residents worked with researchers to develop a water treatment intervention in absence of government water utilities. Survey and water quality data were collected during a 12-month randomized controlled trial of 124 households. Data were used to construct indices for social, technical, and institutional predictors of compliance including technological effectiveness, gender, community capacity, perceived benefit, and inherent demand. Perceived benefit was the only parameter to be significantly associated with compliance. Households in which participants had “very high” levels of perceived benefit were over 4 times more likely to comply with instructions on water treatment and maintenance with the HWTS. These findings suggest that compliance, and therefore disease prevention, can be improved by enhancing perceived benefit to the user.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.008 |
| 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