Bibliographic record
Abstract
With thousands of dead fish—including salmon, speckled trout, and rainbow trout—two fish kills in Prince Edward Island's Dunk and Tryon Rivers in the summer of 2007 serve as a wakeup call for better management of agricultural land in a Canadian province where potatoes are the largest crop. Fish kills are not new to this small, 150-mile-long island nestled between the Northumberland Strait and the Gulf of St. Lawrence on Canada's east coast. Since 1994 there have been 29 reported fish kills in Prince Edward Island's streams and rivers. All are attributed to agricultural runoff. Todd Dupuis, director of regional programs for the Atlantic Salmon Federation, talks about the lack of implementation of the Prince Edward Island Environmental Farm Plan and the legislated 10-meter (30-foot) buffer zones. “It's true a large proportion of farmers have gone through the plan, but there is no compulsory need to implement it,” says Dupuis. Prince Edward Island Environment Minister George Webster, who is a potato farmer in the Maple Plains area, says there are two parts to the buffer zone legislation. One part is enforced, and in the other …
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".