Bibliographic record
Abstract
The British Columbia Ministries of Environment and Agriculture are working with the Whatcom County staff to pilot a project for BC agriculture operators to do a manure application risk assessment for specific fields if they would like to spread manure during the winter season. This pilot project is based on a program developed by the Whatcom County in response to concerns about their dairy industry. There have been concerns for many years regarding the water quality issues in the Lower Fraser Valley on both sides of the Washington State and British Columbia (BC) border. Agricultural operations and activities appear to be a significant contributing factor to the contamination (nitrates, phosphorus, pathogens) in surface waters and groundwater. Winter spreading is generally not recommended as there is a high risk for runoff from fields into watercourses and leaching into groundwater. The BC Ministries of Environment, Agriculture and Health and the Canadian federal government departments, such as Environment Canada, Fisheries and Oceans Canada have been cooperating and collaborating on these issues for many years, bringing what various resources they have to the issue. However, achieving compliance with requirements of the BC Ministry of Environment (ENV) Agricultural Waste Control Regulation (AWCR) has several challenges, including ambiguous and unspecific wording in the regulation. For example, in the current regulation, the emphasis on the phrase of “not causing pollution”, or prohibiting an activity “if it causes pollution” is problematic because it is not protective of the environment or human health — in actuality, it authorizes discharges up to a pollution threshold, does not consider cumulative impacts, and is proving resource intensive with respect to securing adequate evidence. Other jurisdictions appear to be ahead of BC in addressing these problems. The United States Environmental Protection Agency (USEPA) and Washington State’s Environmental Agency have expressed concerns regarding international water quality issues (e.g., nitrates in Abbotsford-Sumas aquifer and surface waters migrating south), which need to be addressed. As well, the Agricultural Waste Control Regulation (AWCR) has not had a comprehensive review since it came into force in 1992. For these and other reasons, the AWCR was identified as a priority for review and updating to deal with the adverse impacts to the environment and human health from agricultural operations and activities in a more efficient and effective manner. The main challenge is to find appropriate and innovative ways to protect human health and the environment, provide regulatory certainty and ensure a sustainable and economically robust agricultural industry in BC.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".