Invasive species issues in Canada - How can ecology help?
Bibliographic record
Abstract
The field of invasive species biology has been growing rapidly in the past decade, spurred on by the US Executive Order on invasive species in 1999. Despite calls to deal with invasive alien species under the International Convention on Biological Diversity in 1992, Canada has been slow to act. Part of the difficulty in managing alien invasive species effectively lies in the lack of ecological knowledge. The Canadian strategy on invasive alien terrestrial plants developed recently by the Canadian Food Inspection Agency sees research as a critical component of the strategy, including study of the biology and ecology of invasive plants. A symposium on ecology and invasive plant species at the Plant Canada meeting in 2007 in Saskatoon served to explore some emerging research in Canada, particularly focusing on Canada’s prairie region. Papers derived from five of the presentations are presented here and illustrate well the continuing challenge of applying ecological principles to the complex issues surrounding invasive plants. Canadian ecologists have made a significant contribution, but much remains to be done along the lines of the simple studies provided in this symposium. Key words: Invasive alien species, prairie region, biodiversity, ecological research
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".