Determining Canadian water utility preparedness for the impacts of climate change
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
Abstract General warming and extreme weather events associated with climate change are expected to negatively impact water utilities. Water utilities will need to adapt to continue providing safe drinking water and wastewater services. In 2012, the Canadian Water and Wastewater Association (CWWA) conducted a survey of 53 water utility officials to understand the expert perceptions of climate change risks and preparedness of Canadian utilities for current and future impacts. Results indicated that there is low awareness among water utility officials (30%) of thepossible impacts of climate change on water utilities, and more than half have not conducted climate change vulnerability assessments (65%) and do not have operational plans to address climate change impacts (56%). Officials from smaller utilities, which are considered to be more vulnerable to impacts, were of those less aware of these risks and reported taking fewer preparedness activities. Efforts to prepare water utilities for climate change impacts in Canada would benefit from education of utility officials about possible climate change risks, encouraging assessments of vulnerabilities, and increased training with new adaptation tools and resources.
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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) | 0.000 | 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