One hundred years of drainage development in the Holland Marsh, Canada, and implications for long‐term sustainability
Bibliographic record
Abstract
Abstract The low‐lying peatlands of the Holland Marsh are intensively cultivated with high‐value vegetable crops, worth some $450 million Canadian annually. This high productivity is due to the fact that there have been significant investments to empolder the marsh, through the construction of dykes, embankments, canals, ditches, tile drainage, and installation of pumping stations. However, attention must be paid to the long‐term environmental sustainability of the Holland Marsh, given the high phosphorus loads and eutrophication in Lake Simcoe, the principal drainage outlet for the agricultural run‐off from the marsh. It is important that non‐point source pollution be reduced and drainage water quality better managed. In addition to agro‐environmental best management practices, adoption of controlled drainage, and improved drainage water pumping strategies are recommended. These could help achieve the P reduction target established by the government of Ontario and the Lake Simcoe Region Conservation Authority.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".