Sentinels on the Wing The Status and Conservation of Butterflies in Canada
Bibliographic record
Abstract
Peter W. HallIn Canada, our ties to the land are strong and deep. Whether we have viewed the coasts of British Columbia or Cape Breton, experienced the beauty of the Arctic tundra, paddled on rivers through our sweeping boreal forests, heard the wind in the prairies, watched caribou swim the rivers of northern Labrador, or searched for song birds in the hardwood forests of south eastern Canada, we all call Canada our home and native land. Perhaps because Canada’s landscapes are extensive and cover a broad range of diverse natural systems, it is easy for us to assume the health of our important natural spaces and the species they contain. Our country seems so vast compared to the number of Canadians that it is difficult for us to imagine humans could have any lasting effect on nature. Yet emerging science demonstrates that our natural systems and the species they contain are increasingly at risk. While the story is by no means complete, key indicator species demonstrate that Canada’s natural legacy is under pressure from a number of sources, such as the conversion of lands for human uses, the release of toxic chemicals, the introduction of new, invasive species or the further spread of natural pests, and a rapidly changing climate. These changes are hitting home and, with the globalization and expansion of human activities, it is clear the pace of change is accelerating. While their flights of fancy may seem insignificant, butterflies are sentinels or early indicators of this change, and can act as important messengers to raise awareness. Based on current evidence, and on a review of this evidence
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".