e Harmful Effects of the Cygnus olor Population on the Biodiversity of the Presqu’ile Provincial Park Wetland Ecosystem
Bibliographic record
Abstract
Presqu’ile Provincial Park in Southeastern Ontario is a major attraction for campers and outdoor enthusiasts year-round. At the forefront of the Park’s popularity is its rich biodiversity, supported by a variety of unique ecosystems. A particular ecosystem of interest, the park’s wetland, is one of the largest along Lake Ontario. However, working with a Biodiversity Specialist from Ontario Parks, we have identified a major issue that has threatened to upset the delicate balance of this ecosystem. Recently, large colonies of Cygnus olor, more commonly known as the mute swan, have begun to nest in the wetland area. This species is extremely territorial and the swans exhibit aggressive behavior towards other species inhabiting the same niche. The main consequence from this territorial behavior is that previously common waterfowl species no longer nest in the wetland. Unfortunately, once C. olor nest in a particular area, dislodging the swan population is very challenging. Using available data from peer-reviewed journals, popular media, Ontario Parks and the Ministry of Natural Resources, our group hopes to analyze the current situation, to identify possible root causes, and to develop viable methods of C. olor population control, in order to restore the wetland’s natural biodiversity. Our seminar will provide a detailed discussion of results from our analysis as well as evaluate potential solutions towards controlling the increasing populations of C. olor. We endeavour to provide future measures that may be implemented to preserve Presqu’ile Provincial Park’s biodiversity and that have potential applications on a global scale.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".