From Policy to Implementation: Expanding the Agricultural Phosphorus Management Toolkit in the Lake Erie Basin
Bibliographic record
Abstract
Phosphorus plays a critical role in the re-eutrophication of Lake Erie. This research aims to inform the development of alternative phosphorus management approaches that contribute to reducing phosphorus loss into Lake Erie from agricultural sources, particularly cash crop and vegetable farms. The research employs a mixed-methods approach: a Policy Delphi to identify supported phosphorus management approaches followed by one-on-one interviews with farmers to determine place-based implementation considerations of the identified options and to provide their own suggestions. The Policy Delphi generated 88 ideas for agricultural phosphorus management. 37 of these received ratings of High Consensus, Weakly Support-Strongly Support and/or Strongly Support in the Policy Delphi. This thesis offers an overview of desirability and feasibility considerations of these policy options, as well as an improved understanding of farmer preferences and challenges and the interplay between agri-environmental policy development, implementation and communication.
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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 | 0.025 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".