Changes in numbers and distribution of staging and wintering goose populations in Sweden 1977/78-2015/16
Bibliographic record
Abstract
Regular goose counts have been undertaken in Swedensince 1977/78 as a part of the International Goose Countsorganised by Wetlands International. The main counts areundertaken in October and November, covering all sites ofimportance for Bean Goose Anser fabalis and in Januarywhen all sites are covered. September counts of GreylagGoose Anser anser will be published separately. In October,the major part of the World population of the TaigaBean Goose Anser fabalis fabalis is found in Sweden. Thepopulation increased from about 20,000 in 1960 to 80,000in 1989, after that it has decreased to about 50,000. Duringthe study period Bean Goose numbers decreased markedlyin the southernmost part of Sweden, whereas numbersincreased at sites further north in southern Sweden. Thespecies also established new important staging areas. Thischange in distribution was probably related to differencesin hunting pressure between different regions and to changesin agriculture. Staging populations of White-fronted GooseAnser albifrons also increased during the period reflectingchanges in the much bigger population south of the Baltic.Marked increase in numbers and a spread to new sites werealso noted among staging Greylag Geese, Canada GeeseBranta canadensis and Barnacle Geese Branta leucopsisreflecting increased breeding populations in south Sweden.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".