13. Mitigating Avian and Bat Mortality at Wolfe Island’s Wind Facility
Bibliographic record
Abstract
This research focuses on exploring existing mitigation and modification options in order to develop appropriate recommendations to aid TransAlta Corporation in curbing bird and bat mortalities on Wolfe Island. Since the construction and operation of the Wolfe Island wind facility in Frontenac County, Ontario began in 2008, it has contributed to the deaths of many local and migratory birds and bats. While official tallies of avian and bat mortalities to date vary across reports, environmentalist groups and residents alike have expressed concerns for the safety of these species citing the facility’s position on a migratory route along the eastern end of Lake Ontario as a key point of contention (Bazillauskas, A. & Yatchew, A., 2011; Blackwell, R., 2012; Dierschke, J et al., 2006). In response, the power company behind the project, TransAlta Corporation, has begun conducting its own investigation into the issue and producing bi-annual monitoring reports of mortalities but has made no significant alterations to their turbines (TransAlta Corporation, 2012). As part of an effort to reduce the direct and indirect effects of the Wolfe Island wind facility on migrating bird and bat species, this report aims to assess the suitability for TransAlta corporation of certain mitigation options such as running turbines on a rotating schedule to account for the high traffic periods throughout the year when species are likely to be most at risk and avoiding the continuous lighting which attracts nocturnal species to the towers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".