Distribution, Abundance and Status of At-Risk Birds at a Six-Acre Site Within the Upper Boileau Biodiversity Reserve, Québec: A Year-Long Research Study
Bibliographic record
Abstract
Understanding the distribution, abundance and status of at-risk birds in any area where human impact is low is an imperative in understanding the larger ecological situation. Birds have been widely seen as reliable indicators of ecological health and there have been significant population declines in North America, especially among migratory aerial insectivores, and are escalading rapidly. As a worldwide community we must seek out those forests, grasslands and wetlands that are currently the least exploited to measure species—listed as threatened and declining. This paper documents the research study that took place within the Upper Boileau Biodiversity Reserve—a proposed key biodiversity area. The six-acre site at La Ferme de l’Aube is indicative of the larger UBBR with mixed coniferous and deciduous woodlands, riverine and marshland habitat, open wildlands and a forest edge. During the 357-day study, 122 species were documented, the highest yearly total at the site and a 18.4% increase over the next best yearly effort. 13.9% of all birds observed during the study year are deemed either at-risk or declining. Looking at regional gaps in bird distribution and filling them with observations will help to understand the impacts of climate change, habitat loss and human interference. Specifically focusing not only on birds currently listed as at risk, but also on those that have been deemed in decline will give us the tools necessary to take aggressive action now so that these species do not end up on these inevitable watch lists.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".