Aerial surveys of Greater White-fronted Geese Anser albifrons frontalis and other waterfowl in the Rasmussen Lowlands of the Central Canadian Arctic.
Bibliographic record
Abstract
Helicopter surveys w e re carried out in June 1994-95 to determine the num bers and distribution of Greater White-fronted Geese Anser albifrons frontalis and other waterfowl in the Rasm ussen Lowlands of the Central Canadian Arctic.The results provide information needed for the m an agement of Greater White-fronted Geese as well as for evaluating the biological importance of the R asm ussen Lowlands as a potential 'p ro tected area'.Estimated num bers of waterfowl in the 6, 265km 2 survey area were 42, 041 Lesser Snow Geese Anser caerulescens caerulescens, 23, 516 Greater White-fronted Geese, 13, 690 King Eiders Somateria spectabilis, 6, 412 Canada Geese Branta canadensis hutchinsii, 5, 427 Long-tailed Ducks Clangula hyemaIis and 3, 822 Tundra Sw an s Cygnus columbianus.Sm aller num bers of several other species of aquatic and terrestrial birds were observed and minimum population estimates are reported for those species as well.Num bers of Lesser Snow, Greater White-fronted and Canada Geese have increased substantially in the Rasm ussen Lowlands since the m id -1970s, but King Eiders and Long tailed Ducks have declined markedly.The results support previous find ings that the R asm ussen Lowlands is a critical breeding and sum m er area for Greater White-fronted Geese and other arctic-nesting water fowl, and further strengthen the recommendations that this site should be protected.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".