Anatomy of a cumulative effects issue: farmland drainage, watershed landscape change and wetland loss in east-central Saskatchewan, Canada
Bibliographic record
Abstract
Most cumulative effects issues emerge incrementally over a long period of time. This chapter identifies the problem of cumulative environmental degradation caused by farmland drainage from the early 1990s to today. It focuses on agricultural activity and wetland loss in east-central Saskatchewan, one of Canada’s prairie provinces. It details the many factors that have contributed to cumulative impacts, including the pro-homesteading policies of the provincial government since the founding of the province, the tendency of farmers to prioritize land improvement over wetland protection, and the failure of successive water and watershed administrative units (and related policies) to detect, prevent or mitigate the problem over many decades. Numerous examples of impacts to wetlands caused by farmland drainage networks are provided. The chapter concludes with a critique of current wetland protection policies and shares how concerned citizens have responded to the now widespread issue of wetland loss in the east-central region of the province.
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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) | 0.001 | 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 | 0.001 |
| 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".