Investigating elevated copper and lead levels in school drinking water
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
Copper and lead continue to be detected at levels above drinking water guidelines in Canadian schools. Although water is typically not an important source of these metals, intermittent use and corrosive water can cause copper and lead to leach from plumbing. Exposure to elevated copper levels is linked to acute gastrointestinal effects in the short term and possible liver effects in the long term, whereas even low level lead exposures are associated with neurodevelopmental effects. Because school water is not regularly monitored for corrosion metals, elevated concentrations are often brought to the attention of public health officials through unexpected circumstances. Here, the death of salmon eggs in a classroom aquarium triggered an investigation that found elevated levels of copper and lead in the school's drinking water. The investigation was then expanded to the school district. Copper and lead levels varied considerably across schools as well as in outlets located in the same school. The effectiveness of flushing, which was implemented as a mitigation strategy, was also found to differ by school building and outlet. Actions described in this case report may be informative for health authorities across Canada.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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