Birds and mammals of the St. Elias Mountain Parks: Checklist evidence for a biogeographic convergence zone
Bibliographic record
Abstract
Danby, Ryan K. 2003.Birds and mammals of the St. Elias Mountain parks: checklist evidence for a biogeographic convergence zone.Canadian Field-Naturalist 117(1): 1-18.The St. Elias region of North America occupies portions of British Columbia, Alaska, and Yukon and consists of a contiguous network of protected areas.Available information on avian and mammalian diversity in each of the region's five major protected areas (Kluane National Park, Wrangell-St.Elias National Park and Preserve, Glacier Bay National Park and Preserve, Tatshenshini-Alsek Provincial Park, and Tetlin National Wildlife Refuge) was integrated to create a species checklist as part of an ongoing effort to create a region-wide ecological database for research and management purposes.Based on the tabulated data, the five protected areas combine to protect a total of 178 species of breeding birds and 51 species of terrestrial mammals.These numbers indicate a level of richness up to 30% beyond that predicted at a continental scale.A high proportion of species near their distributional limits and typical of several different biogeographic provinces appears to account for this value and supports consideration of the region as a biogeographic convergence zone.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".