17. The Environmental Policy of Windmills on Amherst and Wolfe Island and Their Indirect Impact on the Environment
Bibliographic record
Abstract
The objective of our project is to look at the indirect effects of windmills on Wolfe and Amherst Island on native wildlife as well as a focus on the environmental policy around windmills. The indirect effects of windmills would include topics such as changed species behavior in response to windmills and potential changes in the ecosystem as a response to dead birds/bats (i.e. has there been a surge in mosquito population with less bats around). The policy section would include topics such as assessing windmill related mortalities in ways that underestimate the environmental impact or people assessing the potential environmental impacts of building windmills at times diversity/activity of the native ecosystem is not well represented. We will be in contact with people from the Amherst Island conservation group as a source of information and for potential volunteering opportunities. We will also be going to Wolfe/Amherst Island to talk to the people there about the windmills as well as observing the windmills up close. The goal of this study would be to inform people about the problem with the windmills as well as to identify some issues with how people are currently assessing the environmental impacts of windmills.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".