Bibliographic record
Abstract
Abstract Along the east Atlantic migratory flyway, goose and swan species rely on the availability of suit-able coastal habitats as staging sites during migration and for breeding. Especially for the Russian part of the flyway, detailed descriptions of these habitats in relation to use by herbivores are lacking. We report on salt-marsh characteristics and habitat use by barnacle geese in a recently established breeding site, near the village Tobseda at Kolokolkova Bay in the Pechora Delta, Russia. A classification of plant communities was made and both vegetation and soil properties were measured. Goose visitation was assessed by counting droppings. From the bay towards the dunes there was a gradient of decreasing salinity, along with a gradual shift in plant communities from salt marshes to freshwater bogs, tundra and dunes. Barnacle geese visited salt-marsh communities of the low and middle marsh more than the high marsh and non-saline communities. Two low marsh communities were preferred. Both had high tiller densi-ties and low canopy heights and were dominated by Carex subspathacea, a species with high forage quality. Those characteristics are selected by geese, but might be maintained through grazing. The salt marsh at our site bears similarities to other marshes at similar latitudes along the Russian coast and in Canada. We discuss whether processes like grazing facilitation and habitat degeneration through overgrazing occur on our site.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.475 | 0.272 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".