Bibliographic record
Abstract
First sightings in Iceland throughout the 20th century of four summer migrant passerines were studied for possible changes in arrival dates over time, and to relate arrivals to weather conditions in Iceland and in their probable wintering and staging areas. Arrival dates advanced considerably until the 1930s, as Icelandic seasonal temperatures increased. Temperatures and arrival dates changed much less in later years, when Icelandic temperatures showed no sustained trends. Since 1950, Redwings Turdus iliacus coburni have first been seen in the last week of March, Meadow Pipits Anthus pratensis and White Wagtails Motacilla a alba about 20 April and Wheatears Oenanthe o leucorhoa about 25 April. All four species were usually seen earlier when springs in Iceland were warm and wet, and after warm winters in southern Spain. Limited records of departures in autumn suggest that the mean lengths of stay in 1951–2000 were: Redwing 233 days, Meadow Pipit 164, White Wagtail 162 and Wheatear 144 days. Sightings of Redwings and Meadow Pipits, some of which winter in Britain & Ireland, were earlier after warm winters, and during warm springs, in central England. White Wagtails and Wheatears, wintering in Africa, showed no response to English temperatures. First sightings were most likely when winds over Iceland had easterly or southerly components. In 1951–1970 arrivals of Redwings and Meadow Pipits were earlier after winters in which the North Atlantic Oscillation index had been positive and high, but before and after that period no linkage was apparent. Most of these findings resemble those reported from north Norway, though the populations of at least three of the species are probably different. They are unlike the findings from Britain and western Europe, where dates of arrival have advanced most rapidly in recent years while winter and spring warming has continued.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".