A Conservation Crisis in our Backyard; Exploring the Challenge of Advocacy and Restoration in the Carolinian Ecoregion
Bibliographic record
Abstract
The Carolinian ecoregion, which covers approximately 22,000 km2, and stretches northeast from the US border on the Niagara River and around the Lake Ontario shoreline to Toronto, and northwest from Grand Bend to Lake Huron, is a 'hotspot' for species diversity and richness. This region has been highly developed following European colonial development, and has also become one of the most populated areas for residents in Canada. Consequently, many species in this region are severely at risk, where the Carolinian ecoregion has a disproportionately high share of over 60% of Canada's species at risk. This blog discusses my personal experience with coming to terms with how much more attention and conservation efforts this ecoregion needs through my research, how Indigenous dispossession has affected the lives of many First Nations in this region and has contributed to the loss of ecological integrity of this region, and how people in southwestern Ontario can help to assist in ongoing conservation efforts.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.062 | 0.038 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 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".