Bibliographic record
Abstract
I have used data, mainly from south of 62°N, collected within the Breeding Bird Survey and the Winter Bird Count (1975—2001) to describe the population development of the Goshawk Accipiter gentilis in Sweden. The data from the breeding season indicate a considerable population increase. The winter data show a stable population for the winters 1975/1976—1993/94, then six winters with lower values, and a return to the former mean level in 2000/2001. The linear trend for the whole period shows a decline of almost 20%. The winter data are difficult to interpret in terms of breeding population since a large proportion of the hawks are wintering birds from northern Sweden and Finland. The conclusion is that the number of overwintering Goshawks in southern Sweden has declined, especially in recent years, but that the breeding population has increased, or – considering the weak summer data – at least not declined during the last quarter of a century.
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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) | 0.059 | 0.008 |
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; both teacher heads 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".