Trends in goose numbers wintering in Britain & Ireland, 1995 to 2008
Bibliographic record
Abstract
Twelve migratory and native goose populations winter in Britain and Ireland and up to date information on their abundance and distribution is provided. Seven populations are increasing: Barnacle Goose (Svalbard, current estimate 26,900 birds), Barnacle Goose (Greenland 70,500), Pink-footed Goose (288,800), North West Scotland Greylag Goose (34,500), re-established Greylag Goose (50,000), Light-bellied Brent Goose (East Canadian High Arctic 34,000) and Light-bellied Brent Goose (Svalbard 3,270). Two populations appear stable: Taiga Bean Goose (432 at two sites) and Icelandic Greylag Goose (98,300). Three populations are decreasing: European White-fronted Goose (2,760) due to short stopping in mainland Europe, Dark-bellied Brent Goose (82,970), due to a recent population decline (due to poor breeding success) and short stopping, and Greenland White-fronted Goose (24,055) due to recent poor breeding success and, up to 2006, hunting. An estimated 120,000 migratory geese wintered in Britain and Ireland in 1960 compared to 500,000 in 2008. Despite many goose species demonstrating high degrees of site faithfulness (responding to safe roosts and regular food supply), shifts in winter distribution of several goose populations have occurred (notably Icelandic Greylag Goose).
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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 | 0.001 |
| 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) | 0.002 | 0.001 |
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".