Assessing efforts to mitigate the impacts of drainage on wetlands in Ontario, 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
The protection of wetlands through the Ontario Drainage Act has been the subject of much debate. While seen as essential for increasing production and/or productivity of agricultural areas, drainage schemes have been usually approved at the expense of wetlands. Despite the presence of a referral process in Ontario's Drainage Act that is supposed to prevent the significant loss of wetland area, incremental losses continue to occur. The referral process allows landowners, drainage engineers, Drainage Superintendents, local conservation authorities and Ontario Ministry of Natural Resource officials to participate in the decision‐making process. This research examines the recommended mitigation measures and wetland gains/losses in Zorra Township between 1978 and 1997. Data sources included drainage files, wetland evaluation files, aerial photography and interviews with government officials. The results indicate that while recommended mitigation measures of drainage schemes in the vicinity of wetlands have increased, incremental losses continue to occur. The negotiated settlements among drainage engineers and the referral agencies appear to be inadequate to maintain the spatial extent of wetlands. The regulatory approach fails to motivate changes in land‐use management practices. This supports the need to include nonregulatory incentives in the effort to protect wetlands.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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