Role of school health clubs in promotion of better health in Wakiso, Central Uganda
Bibliographic record
Abstract
Poor sanitation is a national problem and every body’s responsibility. It has effects on health status, education, trade and development. Despite the National policies by Ministry of Education that all schools should have school health programmes, sanitation in schools is still presenting a big challenge to several actors in the Health, Education, Water and Sanitation sectors among others (MoES and UNICEF 2006). The rapid increase in primary schools’ classrooms and enrolment in response to Universal Primary Education (UPE) in Uganda has resulted into increased pressure on the limited sanitation facilities available. More than one third of the global population some 2.5 billion people do not use an improved sanitation facility, and of these 1 billion people still practice open defecation (UNICEF, 2014)\nLike other Civil Society Organizations under the umbrella Uganda Water and Sanitation NGO Network (UWASNET) which networks or coordinates all Organizations under the water sector in Uganda, Voluntary Action for Development (VAD) has made a remarkable improvement in communities and schools where the integrated community managed water, hygiene and sanitation improvement has been implemented with funding from various partners from Canada, UK, and Ireland. This presentation highlights various avenues used by the trained School Health Clubs to spearhead the process of hygiene and sanitation improvement in an effort to reduce the occurrence of communicable diseases and improve on the general health of pupils in schools.\nEstablished and registered in 1996, Voluntary Action for Development (VAD) is a non-profit making indigenous, Non-governmental organization registered by the Ministry of Internal Affairs RE: No:S.1594/1709. VAD is focused exclusively on improving livelihoods of rural poor and disadvantaged communities through Water, Hygiene and Sanitation improvement, Sustainable Agriculture promotion, Child Protection and Development initiatives and Family Economic Empowerment\n(www.vaduganda.org).
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".