An Overview of Water Quality Issues in Cambodia
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
Cambodia is amongst the poorest countries in the world, ranking 130 of 175 countries in the 2002 Human Development Index, as reported by the United Nations (www.un.org.kh/rcsystem/). The GDP per capita in 2002 was US$275 (www.state.gov/r/pa/ei/bgn/2732pr.htm). Life expectancy for men is around 54 and for women is 59, which reflects various factors, including high infant mortality rate and low living standards. Mortality due to waterborne diseases in Cambodia is high and is a situation that could be improved through better sanitary conditions and education. Cambodia also faces challenges related to population demographics (43% of the population is aged 15 or less) and the decimation of the skilled/educated sector of society during the Khmer Rouge period of 1975 -79 (Gottesman, 2003)). Estimates of the genocide vary, but Kiernan (1999) suggested about 1.67 million people, or 21% of the population perished during this period.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it