Investigating the Predictors of Domestic Water Consumption in Urban Households with Children Under-Five Years: A Panel Study in the Atwima Nwabiagya District, Ghana
Bibliographic record
Abstract
This panel study investigated the effect of potential predictors on per capita domestic water consumption in the wet and dry seasons. A total of 242 urban households with children under age five were drawn from two urban communities, Abuakwa and Nkawie, in the Atwima Nwabiagya District, Ghana. Data were collected from mothers using interviewer-administered questionnaires and analyzed using correlation and stepwise multiple regression. Mean per capita daily water consumption was estimated at 38.97 and 20.70 liters in the wet (n = 140) and dry seasons (n = 235), respectively. The volume of the primary water storage vessel, number of water storage containers, and household size were the most significant predictors in the wet season, constituting 16% of the variation in water consumption. Duration of water storage, household size, number of water service hours, and volume of the primary water storage vessel emerged as the most significant predictors in the dry season, constituting 40% of the variation in water consumption. Further research that considers a wider range of socio-demographic factors, such as the gender of the household head, culture, religion and water use characteristics of each member of the household are recommended.
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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 | 0.001 | 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 | 0.000 |
| 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".