Enhancing hygiene promotion through access to WASH in informal settlements in Nairobi: the case of wise ladies
Bibliographic record
Abstract
Income poverty is not only the deprivation the urban poor face; inhabitants in informal settlements have extremely very little or absolutely no access to basic services such as health, water and sanitation- deprivations that severely erode human capital. Kenya Water for Health Organization (KWAHO), in partnership with WaterCan Canada, has undertaken WASH initiatives in informal settlements as an entry point to rally the inhabitants to address wider community poverty issues through the use of community organization methodology to break this culture of apathy in informal settlements. Technical implementation of WASH in form of construction of water points and toilets is both a capacity transfer means and support mechanism. However, Hygiene promotion is core in the initiatives as a means of encouraging local communities to effectively use water and sanitation infrastructure developed as demonstrated by Wise ladies, a group of women in Kianda village, Kibera, whose case study is presented herein.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".