Synthesized ecological design recommendations for the optimization of biodiversity on golf courses with an application to southern Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Southern Ontario has experienced one of the most substantial extents of land cover change in the world. The main factor driving this is deforestation for both agriculture and urbanization to accommodate Canada’s highest population density. Additionally, southern Ontario contains the highest density of golf courses in Canada. Research has shown that golf courses have the potential to support more biodiversity than other greenspaces, especially in urban landscapes. The literature contains three important bodies of knowledge: landscape scale ecological design guidelines, local scale ecological golf course design guidelines, and amphibian-habitat specific golf course design guidelines. These have not yet been integrated to recommend how golf courses should be designed to optimize biodiversity. The literature will be critiqued, compared, and then synthesized to inform recommendations in support of biodiversity within southern Ontario golf course ecosystems. These recommendations will be communicated through a set of design recommendations and demonstrations using select golf courses.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it