Self-serve drinking water and sanitation in rural schools of Jiangxi province during 2011- 2013
Bibliographic record
Abstract
Objective To understand self-serve drinking water and sanitation in rural schools of Jiangxi province. Methods Water-quality monitoring in rural schools was administered once a quarter to identify water quality,rationing process,disinfection status,coverage. Water samples during the rainy season( June to September) and dry season( February to May) were collected to assess water contamination. Results During 2011- 2013,the qualified rates were 29. 89%,45. 73% and 41. 00%,respectively.The total qualified rate was 39.85%. The qualified rate of total coliform counts was the lowest,followed by 3a( 58.30%) and total bacteria( 69.99%). Superficial layer of groundwater was the primary source of water( 59. 17%),while deep layer accounted for24.69%. Unprocessed water accounted for 50.61%.Conclusion The sanitation of self-serve drinking water in rural schools is inadequate. Increased access to safe drinking water and improved sanitation and hygiene practices in the rural schools should be fulfilled in the short-term.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".