Waterworks in a changing climate: the R.C. Harris filtration plant, Toronto, Canada
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
This research paper reviews the literature in an area of engineering heritage requiring further examination, the impact of climate change on historic urban water supply systems. Many opportunities exist to enhance the sustainability of historic waterworks still in operation in order to help mediate climate change effects. This must include mitigating climate change impacts on sources of potable water, such as by implementing strategies for water-efficient landscape design, while considering possible uses of the visible elements of the system, such as water treatment plants, to draw attention to this engineering heritage’s continued and critical role. The R.C. Harris filtration plant is the main water treatment plant for the Greater Toronto Area in Canada, drawing water from Lake Ontario. This iconic ‘Palace of Purification’ has been in continuous use since 1941 and was declared a National Historic Civil Engineering Site in 1992. In 2013, it was still producing nearly 40% of Toronto’s tap water. Examination of this plant serves to illustrate the interconnection of a system’s historic design and its water source’s watershed as heritage, to discuss expected impacts of climate change and explain not only some of the possibilities for mitigation, but also eventual necessary and challenging adaptations to changing treatment needs.
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) | 0.000 | 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) | 0.000 | 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