Sindh Province’s Priority Environmental Problems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reports that costs of premature deaths and illnesses caused by environmental health risks in Pakistan’s Sindh Province equal 10% of Sindh’s GDP, with more than 40,000 people dying in 2009 from environmental health risks, nearly half from inadequate household water, sanitation, and hygiene, nearly one-quarter from outdoor air pollution in urban areas, and over one-quarter from household air pollution, road traffic noise, and road traffic accidents. Children comprised about 55% of total deaths (mostly under five years of age), and adults 45%. Deaths from environmental risk factors represent 18% of all deaths, and deaths among children under five represent 30% of all under-five child mortality. Environmental health risks also cause millions of cases of illness, injuries, and children with reduced intelligence. Inadequate water supply, sanitation, and hygiene remain the most pressing environmental problem, followed by air pollution, and lead exposure. Road traffic noise and accidents have substantial costs, particularly in urban areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it