Socio-economic Impacts on Human Life in Arsenic Affected Area of Basti Rasul Pur, Rahim Yar Khan, Pakistan
Bibliographic record
Abstract
<p>The availability and scarcity of both surface and ground water alongwith adverse impacts of contaminated water have become major problems in Pakistan. Groundwater arsenic contamination in the southern part of the country has exponentially endangered the human life and complicated the efforts to provide safe drinking water in the arsenic contaminated areas. To gauge the adverse impacts amongst the affected population, household survey in Basti Rasul Pur district Rahim Yar Khan was conducted on core socio-economic indicators such as household conditions, sex ratio, earning sources, literacy, health morbidity, water borne diseases, drinking water contamination, education, employment and unemployment, expenditure on hospitalization for drawing best possible conclusions. Resultantly, sex ratio observed was about 1.01% for adults and 9.8 % for children. A total of 77 % water samples were found with arsenic contamination, due to which 50 % people were found with arsencosis symptoms and 60% of their earnings were being spent on hospitalization. Due to poverty and illiteracy, the entire population was un-aware of the adverse impacts of drinking water arsenic contamination. There is a dire need of installation of sustainable community based arsenic mitigation technologies for provisioning of safe drinking water to affected community.</p>
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".