Considerations For Source Water Protection In Ontario
Bibliographic record
Abstract
Source water protection under the Ontario Clean Water Act (2006) emerged after the fatal E. coli outbreak in Walkerton, Ontario in 2000. It is the protection of raw drinking water at its source, and it is carried out at a local watershed and municipal level primarily through land use planning tools and stewardship in Ontario. The scope of source water protection is limited to anthropocentric considerations, and therefore it misses the opportunity to protect watersheds for the sake of ecosystem integrity and to conserve the many critical ecosystem services provided by watersheds. There are numerous threats to watersheds and other considerations that are not currently addressed by the regulation that undermine effective source water protection, such as groundwater quantity, urban growth, and existing contaminated lands. In addition, a jurisdictional gap has led to a water crisis in many First Nations communities, for whom contaminated source water is a primary concern. However, source water protection in First Nations communities is made difficult by external and internal threats, and as a tool, it is neither holistic nor aligned with traditional water management practices. Management of watersheds and water sources requires complex solutions and strong governance and institutions. Global freshwater resources are under unprecedented strain, and the lessons from Ontario can be emulated and expanded upon to achieve sustainability and ecosystem integrity.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".