Hydrogeological Criteria for Buffer Zones Between Wetlands and Aggregate Extraction Sites
Bibliographic record
Abstract
Although pits and quarries have been established and operated in close proximity to wetlands throughout southern Ontario, the nature and extent of their impacts on wetland processes and functions are not well documented. A better understanding of these impacts on local hydrogeological processes and wetland functions and on the environmental gradients which define wetland boundaries is required to effectively implement Ministry of Natural Resources wetlands and aggregate resource management policies. The Southern Region Science and Technology Transfer Unit of the Ministry of Natural Resources is currently assessing the range and scale of these impacts to: identify situations where significant impacts may occur; improve siting criteria and define buffer zones; identify operating practices which mitigate negative impacts; maintain local hydrogeological processes; and to develop rehabilitation strategies for the long-term protection and enhancement of adjacent wetlands. This effort is part of long-term monitoring and experimental management initiatives which will be aimed at improving our understanding of wetland gradients, boundaries, and buffer zones in relation to aggregate extraction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".